---
_id: '13188'
abstract:
- lang: eng
text: "The Kirchhoff rod model describes the bending and twisting of slender elastic
rods in three dimensions, and has been widely studied to enable the prediction
of how a rod will deform, given its geometry and boundary conditions. In this
work, we study a number of inverse problems with the goal of computing the geometry
of a straight rod that will automatically deform to match a curved target shape
after attaching its endpoints to a support structure. Our solution lets us finely
control the static equilibrium state of a rod by varying the cross-sectional profiles
along its length.\r\nWe also show that the set of physically realizable equilibrium
states admits a concise geometric description in terms of linear line complexes,
which leads to very efficient computational design algorithms. Implemented in
an interactive software tool, they allow us to convert three-dimensional hand-drawn
spline curves to elastic rods, and give feedback about the feasibility and practicality
of a design in real time. We demonstrate the efficacy of our method by designing
and manufacturing several physical prototypes with applications to interior design
and soft robotics."
acknowledged_ssus:
- _id: M-Shop
acknowledgement: We thank the anonymous reviewers for their generous feedback, and
Julian Fischer for his help in proving Proposition 1. This project has received
funding from the European Research Council (ERC) under the European Union’s Horizon
2020 research and innovation programme (grant agreement No. 715767).
article_number: '171'
article_processing_charge: No
article_type: original
author:
- first_name: Christian
full_name: Hafner, Christian
id: 400429CC-F248-11E8-B48F-1D18A9856A87
last_name: Hafner
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Hafner C, Bickel B. The design space of Kirchhoff rods. ACM Transactions
on Graphics. 2023;42(5). doi:10.1145/3606033
apa: Hafner, C., & Bickel, B. (2023). The design space of Kirchhoff rods. ACM
Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3606033
chicago: Hafner, Christian, and Bernd Bickel. “The Design Space of Kirchhoff Rods.”
ACM Transactions on Graphics. Association for Computing Machinery, 2023.
https://doi.org/10.1145/3606033.
ieee: C. Hafner and B. Bickel, “The design space of Kirchhoff rods,” ACM Transactions
on Graphics, vol. 42, no. 5. Association for Computing Machinery, 2023.
ista: Hafner C, Bickel B. 2023. The design space of Kirchhoff rods. ACM Transactions
on Graphics. 42(5), 171.
mla: Hafner, Christian, and Bernd Bickel. “The Design Space of Kirchhoff Rods.”
ACM Transactions on Graphics, vol. 42, no. 5, 171, Association for Computing
Machinery, 2023, doi:10.1145/3606033.
short: C. Hafner, B. Bickel, ACM Transactions on Graphics 42 (2023).
date_created: 2023-07-04T07:41:30Z
date_published: 2023-09-20T00:00:00Z
date_updated: 2024-03-25T23:30:26Z
day: '20'
ddc:
- '516'
department:
- _id: BeBi
doi: 10.1145/3606033
ec_funded: 1
external_id:
isi:
- '001086833300010'
file:
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checksum: 4954c1cfa487725bc156dcfec872478a
content_type: application/pdf
creator: chafner
date_created: 2023-07-04T08:11:28Z
date_updated: 2023-07-04T08:11:28Z
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creator: chafner
date_created: 2023-07-04T07:46:28Z
date_updated: 2023-07-04T07:46:28Z
file_id: '13190'
file_name: supp-main.pdf
file_size: 420909
relation: supplementary_material
title: Supplemental Material with Proofs
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checksum: 4ab647e4f03c711e1e6a5fc1eb8684db
content_type: application/pdf
creator: chafner
date_created: 2023-07-04T07:46:30Z
date_updated: 2023-07-04T07:46:30Z
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file_name: supp-cheat.pdf
file_size: 430086
relation: supplementary_material
title: Cheat Sheet for Notation
- access_level: open_access
checksum: c0fd9a57d012046de90c185ffa904b76
content_type: video/mp4
creator: chafner
date_created: 2023-07-04T07:46:39Z
date_updated: 2023-07-04T07:46:39Z
file_id: '13192'
file_name: kirchhoff-video-final.mp4
file_size: 268088064
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checksum: 71b00712b489ada2cd9815910ee180a9
content_type: application/x-zip-compressed
creator: chafner
date_created: 2023-07-04T07:47:10Z
date_updated: 2023-07-04T07:47:10Z
file_id: '13193'
file_name: matlab-submission.zip
file_size: 25790
relation: supplementary_material
title: Matlab Source Code with Example
file_date_updated: 2023-07-04T08:11:28Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
issue: '5'
keyword:
- Computer Graphics
- Computational Design
- Computational Geometry
- Shape Modeling
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
record:
- id: '12897'
relation: part_of_dissertation
status: public
status: public
title: The design space of Kirchhoff rods
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_id: '13267'
abstract:
- lang: eng
text: Three-dimensional (3D) reconstruction of living brain tissue down to an individual
synapse level would create opportunities for decoding the dynamics and structure–function
relationships of the brain’s complex and dense information processing network;
however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise
ratio and prohibitive light burden in optical imaging, whereas electron microscopy
is inherently static. Here we solved these challenges by developing an integrated
optical/machine-learning technology, LIONESS (live information-optimized nanoscopy
enabling saturated segmentation). This leverages optical modifications to stimulated
emission depletion microscopy in comprehensively, extracellularly labeled tissue
and previous information on sample structure via machine learning to simultaneously
achieve isotropic super-resolution, high signal-to-noise ratio and compatibility
with living tissue. This allows dense deep-learning-based instance segmentation
and 3D reconstruction at a synapse level, incorporating molecular, activity and
morphodynamic information. LIONESS opens up avenues for studying the dynamic functional
(nano-)architecture of living brain tissue.
acknowledged_ssus:
- _id: ScienComp
- _id: Bio
- _id: PreCl
- _id: E-Lib
- _id: LifeSc
- _id: M-Shop
acknowledgement: "We thank J. Vorlaufer, N. Agudelo and A. Wartak for microscope maintenance
and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, M. Šuplata
for hardware control support and M. Cunha dos Santos for initial exploration of
software. We\r\nthank P. Henderson for advice on deep-learning training and M. Sixt,
S. Boyd and T. Weiss for discussions and critical reading of the manuscript. L.
Lavis (Janelia Research Campus) generously provided the JF585-HaloTag ligand. We
acknowledge expert support by IST\r\nAustria’s scientific computing, imaging and
optics, preclinical, library and laboratory support facilities and by the Miba machine
shop. We gratefully acknowledge funding by the following sources: Austrian Science
Fund (F.W.F.) grant no. I3600-B27 (J.G.D.), grant no. DK W1232\r\n(J.G.D. and J.M.M.)
and grant no. Z 312-B27, Wittgenstein award (P.J.); the Gesellschaft für Forschungsförderung
NÖ grant no. LSC18-022 (J.G.D.); an ISTA Interdisciplinary project grant (J.G.D.
and B.B.); the European Union’s Horizon 2020 research and innovation programme,\r\nMarie-Skłodowska
Curie grant 665385 (J.M.M. and J.L.); the European Union’s Horizon 2020 research
and innovation programme, European Research Council grant no. 715767, MATERIALIZABLE
(B.B.); grant no. 715508, REVERSEAUTISM (G.N.); grant no. 695568, SYNNOVATE (S.G.N.G.);
and grant no. 692692, GIANTSYN (P.J.); the Simons\r\nFoundation Autism Research
Initiative grant no. 529085 (S.G.N.G.); the Wellcome Trust Technology Development
grant no. 202932 (S.G.N.G.); the Marie Skłodowska-Curie Actions Individual Fellowship
no. 101026635 under the EU Horizon 2020 program (J.F.W.);\r\nthe Human Frontier
Science Program postdoctoral fellowship LT000557/2018 (W.J.); and the National Science
Foundation grant no. IIS-1835231 (H.P.) and NCS-FO-2124179 (H.P.)."
article_processing_charge: Yes
article_type: original
author:
- first_name: Philipp
full_name: Velicky, Philipp
id: 39BDC62C-F248-11E8-B48F-1D18A9856A87
last_name: Velicky
orcid: 0000-0002-2340-7431
- first_name: Eder
full_name: Miguel Villalba, Eder
id: 3FB91342-F248-11E8-B48F-1D18A9856A87
last_name: Miguel Villalba
orcid: 0000-0001-5665-0430
- first_name: Julia M
full_name: Michalska, Julia M
id: 443DB6DE-F248-11E8-B48F-1D18A9856A87
last_name: Michalska
orcid: 0000-0003-3862-1235
- first_name: Julia
full_name: Lyudchik, Julia
id: 46E28B80-F248-11E8-B48F-1D18A9856A87
last_name: Lyudchik
- first_name: Donglai
full_name: Wei, Donglai
last_name: Wei
- first_name: Zudi
full_name: Lin, Zudi
last_name: Lin
- first_name: Jake
full_name: Watson, Jake
id: 63836096-4690-11EA-BD4E-32803DDC885E
last_name: Watson
orcid: 0000-0002-8698-3823
- first_name: Jakob
full_name: Troidl, Jakob
last_name: Troidl
- first_name: Johanna
full_name: Beyer, Johanna
last_name: Beyer
- first_name: Yoav
full_name: Ben Simon, Yoav
id: 43DF3136-F248-11E8-B48F-1D18A9856A87
last_name: Ben Simon
- first_name: Christoph M
full_name: Sommer, Christoph M
id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
last_name: Sommer
orcid: 0000-0003-1216-9105
- first_name: Wiebke
full_name: Jahr, Wiebke
id: 425C1CE8-F248-11E8-B48F-1D18A9856A87
last_name: Jahr
- first_name: Alban
full_name: Cenameri, Alban
id: 9ac8f577-2357-11eb-997a-e566c5550886
last_name: Cenameri
- first_name: Johannes
full_name: Broichhagen, Johannes
last_name: Broichhagen
- first_name: Seth G.N.
full_name: Grant, Seth G.N.
last_name: Grant
- first_name: Peter M
full_name: Jonas, Peter M
id: 353C1B58-F248-11E8-B48F-1D18A9856A87
last_name: Jonas
orcid: 0000-0001-5001-4804
- first_name: Gaia
full_name: Novarino, Gaia
id: 3E57A680-F248-11E8-B48F-1D18A9856A87
last_name: Novarino
orcid: 0000-0002-7673-7178
- first_name: Hanspeter
full_name: Pfister, Hanspeter
last_name: Pfister
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Johann G
full_name: Danzl, Johann G
id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
last_name: Danzl
orcid: 0000-0001-8559-3973
citation:
ama: Velicky P, Miguel Villalba E, Michalska JM, et al. Dense 4D nanoscale reconstruction
of living brain tissue. Nature Methods. 2023;20:1256-1265. doi:10.1038/s41592-023-01936-6
apa: Velicky, P., Miguel Villalba, E., Michalska, J. M., Lyudchik, J., Wei, D.,
Lin, Z., … Danzl, J. G. (2023). Dense 4D nanoscale reconstruction of living brain
tissue. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-023-01936-6
chicago: Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Julia Lyudchik,
Donglai Wei, Zudi Lin, Jake Watson, et al. “Dense 4D Nanoscale Reconstruction
of Living Brain Tissue.” Nature Methods. Springer Nature, 2023. https://doi.org/10.1038/s41592-023-01936-6.
ieee: P. Velicky et al., “Dense 4D nanoscale reconstruction of living brain
tissue,” Nature Methods, vol. 20. Springer Nature, pp. 1256–1265, 2023.
ista: Velicky P, Miguel Villalba E, Michalska JM, Lyudchik J, Wei D, Lin Z, Watson
J, Troidl J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen
J, Grant SGN, Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. 2023. Dense
4D nanoscale reconstruction of living brain tissue. Nature Methods. 20, 1256–1265.
mla: Velicky, Philipp, et al. “Dense 4D Nanoscale Reconstruction of Living Brain
Tissue.” Nature Methods, vol. 20, Springer Nature, 2023, pp. 1256–65, doi:10.1038/s41592-023-01936-6.
short: P. Velicky, E. Miguel Villalba, J.M. Michalska, J. Lyudchik, D. Wei, Z. Lin,
J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri,
J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel,
J.G. Danzl, Nature Methods 20 (2023) 1256–1265.
date_created: 2023-07-23T22:01:13Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2024-01-10T08:37:48Z
day: '01'
department:
- _id: PeJo
- _id: GaNo
- _id: BeBi
- _id: JoDa
- _id: Bio
doi: 10.1038/s41592-023-01936-6
ec_funded: 1
external_id:
isi:
- '001025621500001'
pmid:
- '37429995'
intvolume: ' 20'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1038/s41592-023-01936-6
month: '08'
oa: 1
oa_version: Published Version
page: 1256-1265
pmid: 1
project:
- _id: 265CB4D0-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I03600
name: Optical control of synaptic function via adhesion molecules
- _id: 2548AE96-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: W1232-B24
name: Molecular Drug Targets
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z00312
name: The Wittgenstein Prize
- _id: 23889792-32DE-11EA-91FC-C7463DDC885E
name: High content imaging to decode human immune cell interactions in health and
allergic disease
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
- _id: 25444568-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715508'
name: Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo
and in vitro Models
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '692692'
name: Biophysics and circuit function of a giant cortical glumatergic synapse
- _id: fc2be41b-9c52-11eb-aca3-faa90aa144e9
call_identifier: H2020
grant_number: '101026635'
name: Synaptic computations of the hippocampal CA3 circuitry
- _id: 2668BFA0-B435-11E9-9278-68D0E5697425
grant_number: LT00057
name: High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration
publication: Nature Methods
publication_identifier:
eissn:
- 1548-7105
issn:
- 1548-7091
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/danzllab/LIONESS
record:
- id: '12817'
relation: research_data
status: public
- id: '14770'
relation: shorter_version
status: public
scopus_import: '1'
status: public
title: Dense 4D nanoscale reconstruction of living brain tissue
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2023'
...
---
_id: '12897'
abstract:
- lang: eng
text: "Inverse design problems in fabrication-aware shape optimization are typically
solved on discrete representations such as polygonal meshes. This thesis argues
that there are benefits to treating these problems in the same domain as human
designers, namely, the parametric one. One reason is that discretizing a parametric
model usually removes the capability of making further manual changes to the design,
because the human intent is captured by the shape parameters. Beyond this, knowledge
about a design problem can sometimes reveal a structure that is present in a smooth
representation, but is fundamentally altered by discretizing. In this case, working
in the parametric domain may even simplify the optimization task. We present two
lines of research that explore both of these aspects of fabrication-aware shape
optimization on parametric representations.\r\n\r\nThe first project studies the
design of plane elastic curves and Kirchhoff rods, which are common mathematical
models for describing the deformation of thin elastic rods such as beams, ribbons,
cables, and hair. Our main contribution is a characterization of all curved shapes
that can be attained by bending and twisting elastic rods having a stiffness that
is allowed to vary across the length. Elements like these can be manufactured
using digital fabrication devices such as 3d printers and digital cutters, and
have applications in free-form architecture and soft robotics.\r\n\r\nWe show
that the family of curved shapes that can be produced this way admits geometric
description that is concise and computationally convenient. In the case of plane
curves, the geometric description is intuitive enough to allow a designer to determine
whether a curved shape is physically achievable by visual inspection alone. We
also present shape optimization algorithms that convert a user-defined curve in
the plane or in three dimensions into the geometry of an elastic rod that will
naturally deform to follow this curve when its endpoints are attached to a support
structure. Implemented in an interactive software design tool, the rod geometry
is generated in real time as the user edits a curve and enables fast prototyping.
\r\n\r\nThe second project tackles the problem of general-purpose shape optimization
on CAD models using a novel variant of the extended finite element method (XFEM).
Our goal is the decoupling between the simulation mesh and the CAD model, so no
geometry-dependent meshing or remeshing needs to be performed when the CAD parameters
change during optimization. This is achieved by discretizing the embedding space
of the CAD model, and using a new high-accuracy numerical integration method to
enable XFEM on free-form elements bounded by the parametric surface patches of
the model. Our simulation is differentiable from the CAD parameters to the simulation
output, which enables us to use off-the-shelf gradient-based optimization procedures.
The result is a method that fits seamlessly into the CAD workflow because it works
on the same representation as the designer, enabling the alternation of manual
editing and fabrication-aware optimization at will."
acknowledged_ssus:
- _id: M-Shop
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Christian
full_name: Hafner, Christian
id: 400429CC-F248-11E8-B48F-1D18A9856A87
last_name: Hafner
citation:
ama: 'Hafner C. Inverse shape design with parametric representations: Kirchhoff
Rods and parametric surface models. 2023. doi:10.15479/at:ista:12897'
apa: 'Hafner, C. (2023). Inverse shape design with parametric representations:
Kirchhoff Rods and parametric surface models. Institute of Science and Technology
Austria. https://doi.org/10.15479/at:ista:12897'
chicago: 'Hafner, Christian. “Inverse Shape Design with Parametric Representations:
Kirchhoff Rods and Parametric Surface Models.” Institute of Science and Technology
Austria, 2023. https://doi.org/10.15479/at:ista:12897.'
ieee: 'C. Hafner, “Inverse shape design with parametric representations: Kirchhoff
Rods and parametric surface models,” Institute of Science and Technology Austria,
2023.'
ista: 'Hafner C. 2023. Inverse shape design with parametric representations: Kirchhoff
Rods and parametric surface models. Institute of Science and Technology Austria.'
mla: 'Hafner, Christian. Inverse Shape Design with Parametric Representations:
Kirchhoff Rods and Parametric Surface Models. Institute of Science and Technology
Austria, 2023, doi:10.15479/at:ista:12897.'
short: 'C. Hafner, Inverse Shape Design with Parametric Representations: Kirchhoff
Rods and Parametric Surface Models, Institute of Science and Technology Austria,
2023.'
date_created: 2023-05-05T10:40:14Z
date_published: 2023-05-05T00:00:00Z
date_updated: 2024-01-29T10:47:51Z
day: '05'
ddc:
- '516'
- '004'
- '518'
- '531'
degree_awarded: PhD
department:
- _id: GradSch
- _id: BeBi
doi: 10.15479/at:ista:12897
ec_funded: 1
file:
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checksum: cc2094e92fa27000b70eb4bfb76d6b5a
content_type: application/pdf
creator: chafner
date_created: 2023-05-11T10:43:20Z
date_updated: 2023-12-08T23:30:04Z
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date_updated: 2023-12-08T23:30:04Z
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has_accepted_license: '1'
language:
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month: '05'
oa: 1
oa_version: Published Version
page: '180'
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication_identifier:
isbn:
- 978-3-99078-031-2
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '9817'
relation: part_of_dissertation
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relation: part_of_dissertation
status: public
- id: '13188'
relation: dissertation_contains
status: public
status: public
supervisor:
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
title: 'Inverse shape design with parametric representations: Kirchhoff Rods and parametric
surface models'
type: dissertation
user_id: 400429CC-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12972'
abstract:
- lang: eng
text: Embroidery is a long-standing and high-quality approach to making logos and
images on textiles. Nowadays, it can also be performed via automated machines
that weave threads with high spatial accuracy. A characteristic feature of the
appearance of the threads is a high degree of anisotropy. The anisotropic behavior
is caused by depositing thin but long strings of thread. As a result, the stitched
patterns convey both color and direction. Artists leverage this anisotropic behavior
to enhance pure color images with textures, illusions of motion, or depth cues.
However, designing colorful embroidery patterns with prescribed directionality
is a challenging task, one usually requiring an expert designer. In this work,
we propose an interactive algorithm that generates machine-fabricable embroidery
patterns from multi-chromatic images equipped with user-specified directionality
fields.We cast the problem of finding a stitching pattern into vector theory.
To find a suitable stitching pattern, we extract sources and sinks from the divergence
field of the vector field extracted from the input and use them to trace streamlines.
We further optimize the streamlines to guarantee a smooth and connected stitching
pattern. The generated patterns approximate the color distribution constrained
by the directionality field. To allow for further artistic control, the trade-off
between color match and directionality match can be interactively explored via
an intuitive slider. We showcase our approach by fabricating several embroidery
paths.
acknowledgement: This work was supported by the European Research Council (ERC) under
the European Union’s Horizon 2020 research and innovation program (grant agreement
No 715767 – MATERIALIZABLE), and FWF Lise Meitner (Grant M 3319). We thank the anonymous
reviewers for their insightful feedback; Solal Pirelli, Shardul Chiplunkar, and
Paola Mejia for proofreading; everyone in the visual computing group at ISTA for
inspiring lunch and coffee breaks; Thibault Tricard for help producing the results
of Phasor Noise.
article_processing_charge: No
article_type: original
author:
- first_name: Zhenyuan
full_name: Liu, Zhenyuan
id: 70f0d7cf-ae65-11ec-a14f-89dfc5505b19
last_name: Liu
orcid: 0000-0001-9200-5690
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
- first_name: Christian
full_name: Hafner, Christian
id: 400429CC-F248-11E8-B48F-1D18A9856A87
last_name: Hafner
- first_name: Raphael
full_name: Charrondiere, Raphael
id: a3a24133-2cc7-11ec-be88-8ddaf6f464b1
last_name: Charrondiere
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Liu Z, Piovarci M, Hafner C, Charrondiere R, Bickel B. Directionality-aware
design of embroidery patterns. Computer Graphics Forum. 2023;42(2):397-409.
doi:10.1111/cgf.14770
apa: 'Liu, Z., Piovarci, M., Hafner, C., Charrondiere, R., & Bickel, B. (2023).
Directionality-aware design of embroidery patterns. Computer Graphics Forum.
Saarbrucken, Germany: Wiley. https://doi.org/10.1111/cgf.14770
'
chicago: Liu, Zhenyuan, Michael Piovarci, Christian Hafner, Raphael Charrondiere,
and Bernd Bickel. “Directionality-Aware Design of Embroidery Patterns.” Computer
Graphics Forum. Wiley, 2023. https://doi.org/10.1111/cgf.14770
.
ieee: Z. Liu, M. Piovarci, C. Hafner, R. Charrondiere, and B. Bickel, “Directionality-aware
design of embroidery patterns,” Computer Graphics Forum, vol. 42, no. 2.
Wiley, pp. 397–409, 2023.
ista: Liu Z, Piovarci M, Hafner C, Charrondiere R, Bickel B. 2023. Directionality-aware
design of embroidery patterns. Computer Graphics Forum. 42(2), 397–409.
mla: Liu, Zhenyuan, et al. “Directionality-Aware Design of Embroidery Patterns.”
Computer Graphics Forum, vol. 42, no. 2, Wiley, 2023, pp. 397–409, doi:10.1111/cgf.14770 .
short: Z. Liu, M. Piovarci, C. Hafner, R. Charrondiere, B. Bickel, Computer Graphics
Forum 42 (2023) 397–409.
conference:
end_date: 2023-05-12
location: Saarbrucken, Germany
name: 'EG: Eurographics'
start_date: 2023-05-08
date_created: 2023-05-16T08:47:25Z
date_published: 2023-05-08T00:00:00Z
date_updated: 2023-08-01T14:47:05Z
day: '08'
ddc:
- '004'
department:
- _id: BeBi
doi: '10.1111/cgf.14770 '
ec_funded: 1
external_id:
isi:
- '001000062600033'
file:
- access_level: open_access
checksum: 4c188c2be4745467a8790bbf5d6491aa
content_type: application/pdf
creator: mpiovarc
date_created: 2023-05-16T08:28:37Z
date_updated: 2023-05-16T08:28:37Z
file_id: '12974'
file_name: Zhenyuan2023.pdf
file_size: 24003702
relation: main_file
success: 1
file_date_updated: 2023-05-16T08:28:37Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
issue: '2'
keyword:
- embroidery
- design
- directionality
- density
- image
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '05'
oa: 1
oa_version: Published Version
page: 397-409
project:
- _id: eb901961-77a9-11ec-83b8-f5c883a62027
grant_number: M03319
name: Perception-Aware Appearance Fabrication
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Computer Graphics Forum
publication_identifier:
issn:
- 1467-8659
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Directionality-aware design of embroidery patterns
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 42
year: '2023'
...
---
_id: '13049'
abstract:
- lang: eng
text: "We propose a computational design approach for covering a surface with individually
addressable RGB LEDs, effectively forming a low-resolution surface screen. To
achieve a low-cost and scalable approach, we propose creating designs from flat
PCB panels bent in-place along the surface of a 3D printed core. Working with
standard rigid PCBs enables the use of\r\nestablished PCB manufacturing services,
allowing the fabrication of designs with several hundred LEDs. \r\nOur approach
optimizes the PCB geometry for folding, and then jointly optimizes the LED packing,
circuit and routing, solving a challenging layout problem under strict manufacturing
requirements. Unlike paper, PCBs cannot bend beyond a certain point without breaking.
Therefore, we introduce parametric cut patterns acting as hinges, designed to
allow bending while remaining compact. To tackle the joint optimization of placement,
circuit and routing, we propose a specialized algorithm that splits the global
problem into one sub-problem per triangle, which is then individually solved.\r\nOur
technique generates PCB blueprints in a completely automated way. After being
fabricated by a PCB manufacturing service, the boards are bent and glued by the
user onto the 3D printed support. We demonstrate our technique on a range of physical
models and virtual examples, creating intricate surface light patterns from hundreds
of LEDs."
acknowledged_ssus:
- _id: M-Shop
acknowledgement: We thank the reviewers for the valuable feedback. We also thank the
Miba Machine Shop at ISTA, PCBWay, and PragoBoard for helping us with fabrication
and assembly. This project was supported by the European Research Council (ERC)
under the European Union’s Horizon 2020 research and innovation program (Grant Agreement
No. 715767 – MATERIALIZABLE).
article_number: '142'
article_processing_charge: No
article_type: original
author:
- first_name: Marco
full_name: Freire, Marco
last_name: Freire
- first_name: Manas
full_name: Bhargava, Manas
id: FF8FA64C-AA6A-11E9-99AD-50D4E5697425
last_name: Bhargava
orcid: 0009-0007-6138-6890
- first_name: Camille
full_name: Schreck, Camille
id: 2B14B676-F248-11E8-B48F-1D18A9856A87
last_name: Schreck
- first_name: Pierre-Alexandre
full_name: Hugron, Pierre-Alexandre
last_name: Hugron
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Sylvain
full_name: Lefebvre, Sylvain
last_name: Lefebvre
citation:
ama: 'Freire M, Bhargava M, Schreck C, Hugron P-A, Bickel B, Lefebvre S. PCBend:
Light up your 3D shapes with foldable circuit boards. Transactions on Graphics.
2023;42(4). doi:10.1145/3592411'
apa: 'Freire, M., Bhargava, M., Schreck, C., Hugron, P.-A., Bickel, B., & Lefebvre,
S. (2023). PCBend: Light up your 3D shapes with foldable circuit boards. Transactions
on Graphics. Los Angeles, CA, United States: Association for Computing Machinery.
https://doi.org/10.1145/3592411'
chicago: 'Freire, Marco, Manas Bhargava, Camille Schreck, Pierre-Alexandre Hugron,
Bernd Bickel, and Sylvain Lefebvre. “PCBend: Light up Your 3D Shapes with Foldable
Circuit Boards.” Transactions on Graphics. Association for Computing Machinery,
2023. https://doi.org/10.1145/3592411.'
ieee: 'M. Freire, M. Bhargava, C. Schreck, P.-A. Hugron, B. Bickel, and S. Lefebvre,
“PCBend: Light up your 3D shapes with foldable circuit boards,” Transactions
on Graphics, vol. 42, no. 4. Association for Computing Machinery, 2023.'
ista: 'Freire M, Bhargava M, Schreck C, Hugron P-A, Bickel B, Lefebvre S. 2023.
PCBend: Light up your 3D shapes with foldable circuit boards. Transactions on
Graphics. 42(4), 142.'
mla: 'Freire, Marco, et al. “PCBend: Light up Your 3D Shapes with Foldable Circuit
Boards.” Transactions on Graphics, vol. 42, no. 4, 142, Association for
Computing Machinery, 2023, doi:10.1145/3592411.'
short: M. Freire, M. Bhargava, C. Schreck, P.-A. Hugron, B. Bickel, S. Lefebvre,
Transactions on Graphics 42 (2023).
conference:
end_date: 2023-08-10
location: Los Angeles, CA, United States
name: 'SIGGRAPH: Computer Graphics and Interactive Techniques Conference'
start_date: 2023-08-06
date_created: 2023-05-22T08:37:04Z
date_published: 2023-07-26T00:00:00Z
date_updated: 2024-01-29T10:30:49Z
day: '26'
ddc:
- '006'
department:
- _id: GradSch
- _id: BeBi
doi: 10.1145/3592411
ec_funded: 1
external_id:
isi:
- '001044671300108'
file:
- access_level: open_access
checksum: a0b0ba3b36f43a94388e8824613d812a
content_type: application/pdf
creator: dernst
date_created: 2023-06-19T11:02:23Z
date_updated: 2023-06-19T11:02:23Z
file_id: '13156'
file_name: 2023_ACMToG_Freire.pdf
file_size: 78940724
relation: main_file
success: 1
- access_level: open_access
checksum: b9206bbb67af82df49b7e7cdbde3410c
content_type: application/pdf
creator: dernst
date_created: 2023-06-20T12:20:51Z
date_updated: 2023-06-20T12:20:51Z
file_id: '13157'
file_name: 2023_ACMToG_SuppMaterial_Freire.pdf
file_size: 34345905
relation: main_file
success: 1
file_date_updated: 2023-06-20T12:20:51Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
issue: '4'
keyword:
- PCB design and layout
- Mesh geometry models
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: 'PCBend: Light up your 3D shapes with foldable circuit boards'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 42
year: '2023'
...
---
_id: '10922'
abstract:
- lang: eng
text: We study structural rigidity for assemblies with mechanical joints. Existing
methods identify whether an assembly is structurally rigid by assuming parts are
perfectly rigid. Yet, an assembly identified as rigid may not be that “rigid”
in practice, and existing methods cannot quantify how rigid an assembly is. We
address this limitation by developing a new measure, worst-case rigidity, to quantify
the rigidity of an assembly as the largest possible deformation that the assembly
undergoes for arbitrary external loads of fixed magnitude. Computing worst-case
rigidity is non-trivial due to non-rigid parts and different joint types. We thus
formulate a new computational approach by encoding parts and their connections
into a stiffness matrix, in which parts are modeled as deformable objects and
joints as soft constraints. Based on this, we formulate worst-case rigidity analysis
as an optimization that seeks the worst-case deformation of an assembly for arbitrary
external loads, and solve the optimization problem via an eigenanalysis. Furthermore,
we present methods to optimize the geometry and topology of various assemblies
to enhance their rigidity, as guided by our rigidity measure. In the end, we validate
our method on a variety of assembly structures with physical experiments and demonstrate
its effectiveness by designing and fabricating several structurally rigid assemblies.
acknowledged_ssus:
- _id: M-Shop
acknowledgement: "This work was supported by the Research Grants Council of the Hong
Kong Special Administrative Region, China [Project No.: CUHK 14201921] and the European
Research Council (ERC) under the European Union’s Horizon 2020 research and innovation
programme (grant agreement No 715767 – MATERIALIZABLE). We thank the anonymous reviewers
for their insightful feedback; Christian Hafner for proofreading and discussions;
Ziqi Wang,\r\nHaisen Zhao, and Martin Hafskjold Thoresen for the helpful discussions;
and the Miba Machine Shop at IST Austria for 3D printing the BUNNY and BOOMERANG
models."
article_processing_charge: No
article_type: original
author:
- first_name: Zhenyuan
full_name: Liu, Zhenyuan
id: 70f0d7cf-ae65-11ec-a14f-89dfc5505b19
last_name: Liu
orcid: 0000-0001-9200-5690
- first_name: Jingyu
full_name: Hu, Jingyu
last_name: Hu
- first_name: Hao
full_name: Xu, Hao
last_name: Xu
- first_name: Peng
full_name: Song, Peng
last_name: Song
- first_name: Ran
full_name: Zhang, Ran
last_name: Zhang
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Chi-Wing
full_name: Fu, Chi-Wing
last_name: Fu
citation:
ama: Liu Z, Hu J, Xu H, et al. Worst-case rigidity analysis and optimization for
assemblies with mechanical joints. Computer Graphics Forum. 2022;41(2):507-519.
doi:10.1111/cgf.14490
apa: Liu, Z., Hu, J., Xu, H., Song, P., Zhang, R., Bickel, B., & Fu, C.-W. (2022).
Worst-case rigidity analysis and optimization for assemblies with mechanical joints.
Computer Graphics Forum. Wiley. https://doi.org/10.1111/cgf.14490
chicago: Liu, Zhenyuan, Jingyu Hu, Hao Xu, Peng Song, Ran Zhang, Bernd Bickel, and
Chi-Wing Fu. “Worst-Case Rigidity Analysis and Optimization for Assemblies with
Mechanical Joints.” Computer Graphics Forum. Wiley, 2022. https://doi.org/10.1111/cgf.14490.
ieee: Z. Liu et al., “Worst-case rigidity analysis and optimization for assemblies
with mechanical joints,” Computer Graphics Forum, vol. 41, no. 2. Wiley,
pp. 507–519, 2022.
ista: Liu Z, Hu J, Xu H, Song P, Zhang R, Bickel B, Fu C-W. 2022. Worst-case rigidity
analysis and optimization for assemblies with mechanical joints. Computer Graphics
Forum. 41(2), 507–519.
mla: Liu, Zhenyuan, et al. “Worst-Case Rigidity Analysis and Optimization for Assemblies
with Mechanical Joints.” Computer Graphics Forum, vol. 41, no. 2, Wiley,
2022, pp. 507–19, doi:10.1111/cgf.14490.
short: Z. Liu, J. Hu, H. Xu, P. Song, R. Zhang, B. Bickel, C.-W. Fu, Computer Graphics
Forum 41 (2022) 507–519.
date_created: 2022-03-27T17:34:17Z
date_published: 2022-05-01T00:00:00Z
date_updated: 2023-08-03T06:17:13Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1111/cgf.14490
ec_funded: 1
external_id:
isi:
- '000802723900039'
file:
- access_level: open_access
checksum: b62188b07f5c000f1638c782ec92da41
content_type: application/pdf
creator: bbickel
date_created: 2022-03-27T17:34:11Z
date_updated: 2022-03-27T17:34:11Z
file_id: '10923'
file_name: paper.pdf
file_size: 19601689
relation: main_file
file_date_updated: 2022-03-27T17:34:11Z
has_accepted_license: '1'
intvolume: ' 41'
isi: 1
issue: '2'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 507-519
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Computer Graphics Forum
publication_identifier:
eissn:
- 1467-8659
issn:
- 0167-7055
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Worst-case rigidity analysis and optimization for assemblies with mechanical
joints
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 41
year: '2022'
...
---
_id: '11442'
abstract:
- lang: eng
text: "Enabling additive manufacturing to employ a wide range of novel, functional
materials can be a major boost to this technology. However, making such materials
printable requires painstaking trial-and-error by an expert operator,\r\nas they
typically tend to exhibit peculiar rheological or hysteresis properties. Even
in the case of successfully finding the process parameters, there is no guarantee
of print-to-print consistency due to material differences between batches. These
challenges make closed-loop feedback an attractive option where the process parameters
are adjusted on-the-fly. There are several challenges for designing an efficient
controller: the deposition parameters are complex and highly coupled, artifacts
occur after long time horizons, simulating the deposition is computationally costly,
and learning on hardware is intractable. In this work, we demonstrate the feasibility
of learning a closed-loop control policy for additive manufacturing using reinforcement
learning. We show that approximate, but efficient, numerical simulation is\r\nsufficient
as long as it allows learning the behavioral patterns of deposition that translate
to real-world experiences. In combination with reinforcement learning, our model
can be used to discover control policies that outperform\r\nbaseline controllers.
Furthermore, the recovered policies have a minimal sim-to-real gap. We showcase
this by applying our control policy in-vivo on a single-layer, direct ink writing
printer. "
acknowledgement: "This work is graciously supported by the following grant agencies:
FWF Lise Meitner (Grant M 3319), SNSF (Grant 200502), ERC Starting Grant (MATERIALIZABLE-715767),
NSF (Grant IIS-181507).\r\n"
article_number: '112'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Michael
full_name: Piovarci, Michael
id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
last_name: Piovarci
- first_name: Michael
full_name: Foshey, Michael
last_name: Foshey
- first_name: Jie
full_name: Xu, Jie
last_name: Xu
- first_name: Timothy
full_name: Erps, Timothy
last_name: Erps
- first_name: Vahid
full_name: Babaei, Vahid
last_name: Babaei
- first_name: Piotr
full_name: Didyk, Piotr
last_name: Didyk
- first_name: Szymon
full_name: Rusinkiewicz, Szymon
last_name: Rusinkiewicz
- first_name: Wojciech
full_name: Matusik, Wojciech
last_name: Matusik
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Piovarci M, Foshey M, Xu J, et al. Closed-loop control of direct ink writing
via reinforcement learning. ACM Transactions on Graphics. 2022;41(4). doi:10.1145/3528223.3530144
apa: Piovarci, M., Foshey, M., Xu, J., Erps, T., Babaei, V., Didyk, P., … Bickel,
B. (2022). Closed-loop control of direct ink writing via reinforcement learning.
ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3528223.3530144
chicago: Piovarci, Michael, Michael Foshey, Jie Xu, Timothy Erps, Vahid Babaei,
Piotr Didyk, Szymon Rusinkiewicz, Wojciech Matusik, and Bernd Bickel. “Closed-Loop
Control of Direct Ink Writing via Reinforcement Learning.” ACM Transactions
on Graphics. Association for Computing Machinery, 2022. https://doi.org/10.1145/3528223.3530144.
ieee: M. Piovarci et al., “Closed-loop control of direct ink writing via
reinforcement learning,” ACM Transactions on Graphics, vol. 41, no. 4.
Association for Computing Machinery, 2022.
ista: Piovarci M, Foshey M, Xu J, Erps T, Babaei V, Didyk P, Rusinkiewicz S, Matusik
W, Bickel B. 2022. Closed-loop control of direct ink writing via reinforcement
learning. ACM Transactions on Graphics. 41(4), 112.
mla: Piovarci, Michael, et al. “Closed-Loop Control of Direct Ink Writing via Reinforcement
Learning.” ACM Transactions on Graphics, vol. 41, no. 4, 112, Association
for Computing Machinery, 2022, doi:10.1145/3528223.3530144.
short: M. Piovarci, M. Foshey, J. Xu, T. Erps, V. Babaei, P. Didyk, S. Rusinkiewicz,
W. Matusik, B. Bickel, ACM Transactions on Graphics 41 (2022).
date_created: 2022-06-10T06:41:47Z
date_published: 2022-06-01T00:00:00Z
date_updated: 2023-05-31T12:38:21Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3528223.3530144
ec_funded: 1
external_id:
arxiv:
- '2201.11819'
file:
- access_level: open_access
checksum: 27f6fe41c6ff84d50445cc9b0176d45b
content_type: application/pdf
creator: dernst
date_created: 2022-06-28T08:32:58Z
date_updated: 2022-06-28T08:32:58Z
file_id: '11467'
file_name: 2022_ACM_acceptedversion_Piovarci.pdf
file_size: 33994829
relation: main_file
success: 1
file_date_updated: 2022-06-28T08:32:58Z
has_accepted_license: '1'
intvolume: ' 41'
issue: '4'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Submitted Version
project:
- _id: eb901961-77a9-11ec-83b8-f5c883a62027
grant_number: M03319
name: Perception-Aware Appearance Fabrication
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on ISTA website
relation: press_release
url: https://ista.ac.at/en/news/machine-learning-3d-printing-fluids/
status: public
title: Closed-loop control of direct ink writing via reinforcement learning
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 41
year: '2022'
...
---
_id: '11735'
abstract:
- lang: eng
text: "Interlocking puzzles are intriguing geometric games where the puzzle pieces
are held together based on their geometric arrangement, preventing the puzzle
from falling apart. High-level-of-difficulty, or simply high-level, interlocking
puzzles are a subclass of interlocking puzzles that require multiple moves to
take out the first subassembly from the puzzle. Solving a high-level interlocking
puzzle is a challenging task since one has to explore many different configurations
of the puzzle pieces until reaching a configuration where the first subassembly
can be taken out. Designing a high-level interlocking puzzle with a user-specified
level of difficulty is even harder since the puzzle pieces have to be interlocking
in all the configurations before the first subassembly is taken out.\r\n\r\nIn
this paper, we present a computational approach to design high-level interlocking
puzzles. The core idea is to represent all possible configurations of an interlocking
puzzle as well as transitions among these configurations using a rooted, undirected
graph called a disassembly graph and leverage this graph to find a disassembly
plan that requires a minimal number of moves to take out the first subassembly
from the puzzle. At the design stage, our algorithm iteratively constructs the
geometry of each puzzle piece to expand the disassembly graph incrementally, aiming
to achieve a user-specified level of difficulty. We show that our approach allows
efficient generation of high-level interlocking puzzles of various shape complexities,
including new solutions not attainable by state-of-the-art approaches."
acknowledgement: "We thank the reviewers for the valuable comments, David Gontier
for sharing the source code of the baseline design approach, Christian Hafner for
proofreading the paper, Keenan Crane for the 3D model of Cow, and Thingiverse for
the 3D models of Moai and Owl. This work was supported by the SUTD Start-up Research
Grant (Number: SRG ISTD 2019 148), the Swiss National Science Foundation (NCCR Digital
Fabrication Agreement #51NF40-141853), and\r\nthe European Research Council (ERC)
under the European Union’s Horizon 2020 research and innovation programme (Grant
Agreement No 715767 – MATERIALIZABLE)."
article_number: '150'
article_processing_charge: No
article_type: original
author:
- first_name: Rulin
full_name: Chen, Rulin
last_name: Chen
- first_name: Ziqi
full_name: Wang, Ziqi
last_name: Wang
- first_name: Peng
full_name: Song, Peng
last_name: Song
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Chen R, Wang Z, Song P, Bickel B. Computational design of high-level interlocking
puzzles. ACM Transactions on Graphics. 2022;41(4). doi:10.1145/3528223.3530071
apa: Chen, R., Wang, Z., Song, P., & Bickel, B. (2022). Computational design
of high-level interlocking puzzles. ACM Transactions on Graphics. Association
for Computing Machinery. https://doi.org/10.1145/3528223.3530071
chicago: Chen, Rulin, Ziqi Wang, Peng Song, and Bernd Bickel. “Computational Design
of High-Level Interlocking Puzzles.” ACM Transactions on Graphics. Association
for Computing Machinery, 2022. https://doi.org/10.1145/3528223.3530071.
ieee: R. Chen, Z. Wang, P. Song, and B. Bickel, “Computational design of high-level
interlocking puzzles,” ACM Transactions on Graphics, vol. 41, no. 4. Association
for Computing Machinery, 2022.
ista: Chen R, Wang Z, Song P, Bickel B. 2022. Computational design of high-level
interlocking puzzles. ACM Transactions on Graphics. 41(4), 150.
mla: Chen, Rulin, et al. “Computational Design of High-Level Interlocking Puzzles.”
ACM Transactions on Graphics, vol. 41, no. 4, 150, Association for Computing
Machinery, 2022, doi:10.1145/3528223.3530071.
short: R. Chen, Z. Wang, P. Song, B. Bickel, ACM Transactions on Graphics 41 (2022).
date_created: 2022-08-07T22:01:57Z
date_published: 2022-07-22T00:00:00Z
date_updated: 2023-08-03T13:21:22Z
day: '22'
ddc:
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department:
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doi: 10.1145/3528223.3530071
ec_funded: 1
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isi:
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oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on ISTA website
relation: press_release
url: https://ista.ac.at/en/news/unlocking-interlocking-riddles/
scopus_import: '1'
status: public
title: Computational design of high-level interlocking puzzles
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 41
year: '2022'
...
---
_id: '9241'
abstract:
- lang: eng
text: 'Volumetric light transport is a pervasive physical phenomenon, and therefore
its accurate simulation is important for a broad array of disciplines. While suitable
mathematical models for computing the transport are now available, obtaining the
necessary material parameters needed to drive such simulations is a challenging
task: direct measurements of these parameters from material samples are seldom
possible. Building on the inverse scattering paradigm, we present a novel measurement
approach which indirectly infers the transport parameters from extrinsic observations
of multiple-scattered radiance. The novelty of the proposed approach lies in replacing
structured illumination with a structured reflector bonded to the sample, and
a robust fitting procedure that largely compensates for potential systematic errors
in the calibration of the setup. We show the feasibility of our approach by validating
simulations of complex 3D compositions of the measured materials against physical
prints, using photo-polymer resins. As presented in this paper, our technique
yields colorspace data suitable for accurate appearance reproduction in the area
of 3D printing. Beyond that, and without fundamental changes to the basic measurement
methodology, it could equally well be used to obtain spectral measurements that
are useful for other application areas.'
acknowledgement: "H2020 Marie Skłodowska-Curie Actions (642841); European Research
Council (715767); Grantová Agentura České Republiky (16-08111S, 16-18964S); Univerzita
Karlova v Praze (SVV-2017-260452); Engineering and Physical Sciences Research Council
(EP/K023578/1).\r\nWe are grateful to Stratasys Ltd. for access to the voxel-level
print interface of the J750\r\nmachine."
article_processing_charge: No
article_type: original
author:
- first_name: Oskar
full_name: Elek, Oskar
last_name: Elek
- first_name: Ran
full_name: Zhang, Ran
id: 4DDBCEB0-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
orcid: 0000-0002-3808-281X
- first_name: Denis
full_name: Sumin, Denis
last_name: Sumin
- first_name: Karol
full_name: Myszkowski, Karol
last_name: Myszkowski
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Alexander
full_name: Wilkie, Alexander
last_name: Wilkie
- first_name: Jaroslav
full_name: Křivánek, Jaroslav
last_name: Křivánek
- first_name: Tim
full_name: Weyrich, Tim
last_name: Weyrich
citation:
ama: Elek O, Zhang R, Sumin D, et al. Robust and practical measurement of volume
transport parameters in solid photo-polymer materials for 3D printing. Optics
Express. 2021;29(5):7568-7588. doi:10.1364/OE.406095
apa: Elek, O., Zhang, R., Sumin, D., Myszkowski, K., Bickel, B., Wilkie, A., … Weyrich,
T. (2021). Robust and practical measurement of volume transport parameters in
solid photo-polymer materials for 3D printing. Optics Express. The Optical
Society. https://doi.org/10.1364/OE.406095
chicago: Elek, Oskar, Ran Zhang, Denis Sumin, Karol Myszkowski, Bernd Bickel, Alexander
Wilkie, Jaroslav Křivánek, and Tim Weyrich. “Robust and Practical Measurement
of Volume Transport Parameters in Solid Photo-Polymer Materials for 3D Printing.”
Optics Express. The Optical Society, 2021. https://doi.org/10.1364/OE.406095.
ieee: O. Elek et al., “Robust and practical measurement of volume transport
parameters in solid photo-polymer materials for 3D printing,” Optics Express,
vol. 29, no. 5. The Optical Society, pp. 7568–7588, 2021.
ista: Elek O, Zhang R, Sumin D, Myszkowski K, Bickel B, Wilkie A, Křivánek J, Weyrich
T. 2021. Robust and practical measurement of volume transport parameters in solid
photo-polymer materials for 3D printing. Optics Express. 29(5), 7568–7588.
mla: Elek, Oskar, et al. “Robust and Practical Measurement of Volume Transport Parameters
in Solid Photo-Polymer Materials for 3D Printing.” Optics Express, vol.
29, no. 5, The Optical Society, 2021, pp. 7568–88, doi:10.1364/OE.406095.
short: O. Elek, R. Zhang, D. Sumin, K. Myszkowski, B. Bickel, A. Wilkie, J. Křivánek,
T. Weyrich, Optics Express 29 (2021) 7568–7588.
date_created: 2021-03-14T23:01:33Z
date_published: 2021-03-01T00:00:00Z
date_updated: 2023-08-07T14:11:57Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1364/OE.406095
ec_funded: 1
external_id:
isi:
- '000624968100103'
file:
- access_level: open_access
checksum: a9697ad83136c19ad87e46aa2db63cfd
content_type: application/pdf
creator: dernst
date_created: 2021-03-22T08:15:28Z
date_updated: 2021-03-22T08:15:28Z
file_id: '9269'
file_name: 2021_OpticsExpress_Elek.pdf
file_size: 10873700
relation: main_file
success: 1
file_date_updated: 2021-03-22T08:15:28Z
has_accepted_license: '1'
intvolume: ' 29'
isi: 1
issue: '5'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 7568-7588
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '642841'
name: Distributed 3D Object Design
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Optics Express
publication_identifier:
eissn:
- 1094-4087
publication_status: published
publisher: The Optical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Robust and practical measurement of volume transport parameters in solid photo-polymer
materials for 3D printing
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 29
year: '2021'
...
---
_id: '9376'
abstract:
- lang: eng
text: This paper presents a method for designing planar multistable compliant structures.
Given a sequence of desired stable states and the corresponding poses of the structure,
we identify the topology and geometric realization of a mechanism—consisting of
bars and joints—that is able to physically reproduce the desired multistable behavior.
In order to solve this problem efficiently, we build on insights from minimally
rigid graph theory to identify simple but effective topologies for the mechanism.
We then optimize its geometric parameters, such as joint positions and bar lengths,
to obtain correct transitions between the given poses. Simultaneously, we ensure
adequate stability of each pose based on an effective approximate error metric
related to the elastic energy Hessian of the bars in the mechanism. As demonstrated
by our results, we obtain functional multistable mechanisms of manageable complexity
that can be fabricated using 3D printing. Further, we evaluated the effectiveness
of our method on a large number of examples in the simulation and fabricated several
physical prototypes.
acknowledged_ssus:
- _id: M-Shop
acknowledgement: 'We would like to thank everyone who contributed to this paper, the
authors of artworks for all the examples, including @macrovec-tor_official and Wikimedia
for the FLAG semaphore, and @pikisuper-star for the FIGURINE. The photos of iconic
poses in the teaser were supplied by (from left to right): Mike Hewitt/Olympics
Day 8 - Athletics/Gettty Images, Oneinchpunch/Basketball player training on acourt
in New york city/Shutterstock, and Andrew Redington/TigerWoods/Getty Images. We
also want to express our gratitude to Christian Hafner for insightful discussions,
the IST Austria machine shop SSU, all proof-readers, and anonymous reviewers. This
project has received funding from the European Union’s Horizon 2020 research and
innovation programme, under the Marie Skłodowska-Curie grant agreement No 642841
(DISTRO), and under the European Research Council grant agreement No 715767 (MATERIALIZABLE).'
article_number: '186'
article_processing_charge: No
article_type: original
author:
- first_name: Ran
full_name: Zhang, Ran
id: 4DDBCEB0-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
orcid: 0000-0002-3808-281X
- first_name: Thomas
full_name: Auzinger, Thomas
id: 4718F954-F248-11E8-B48F-1D18A9856A87
last_name: Auzinger
orcid: 0000-0002-1546-3265
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Zhang R, Auzinger T, Bickel B. Computational design of planar multistable compliant
structures. ACM Transactions on Graphics. 2021;40(5). doi:10.1145/3453477
apa: Zhang, R., Auzinger, T., & Bickel, B. (2021). Computational design of planar
multistable compliant structures. ACM Transactions on Graphics. Association
for Computing Machinery. https://doi.org/10.1145/3453477
chicago: Zhang, Ran, Thomas Auzinger, and Bernd Bickel. “Computational Design of
Planar Multistable Compliant Structures.” ACM Transactions on Graphics.
Association for Computing Machinery, 2021. https://doi.org/10.1145/3453477.
ieee: R. Zhang, T. Auzinger, and B. Bickel, “Computational design of planar multistable
compliant structures,” ACM Transactions on Graphics, vol. 40, no. 5. Association
for Computing Machinery, 2021.
ista: Zhang R, Auzinger T, Bickel B. 2021. Computational design of planar multistable
compliant structures. ACM Transactions on Graphics. 40(5), 186.
mla: Zhang, Ran, et al. “Computational Design of Planar Multistable Compliant Structures.”
ACM Transactions on Graphics, vol. 40, no. 5, 186, Association for Computing
Machinery, 2021, doi:10.1145/3453477.
short: R. Zhang, T. Auzinger, B. Bickel, ACM Transactions on Graphics 40 (2021).
date_created: 2021-05-08T17:37:08Z
date_published: 2021-10-08T00:00:00Z
date_updated: 2023-08-08T13:31:38Z
day: '08'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3453477
ec_funded: 1
external_id:
isi:
- '000752079300003'
file:
- access_level: open_access
checksum: 8564b3118457d4c8939a8ef2b1a2f16c
content_type: application/pdf
creator: bbickel
date_created: 2021-05-08T17:36:59Z
date_updated: 2021-05-08T17:36:59Z
file_id: '9377'
file_name: Multistable-authorversion.pdf
file_size: 18926557
relation: main_file
- access_level: open_access
checksum: 3b6e874e30bfa1bfc3ad3498710145a1
content_type: video/mp4
creator: bbickel
date_created: 2021-05-08T17:38:22Z
date_updated: 2021-05-08T17:38:22Z
file_id: '9378'
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creator: bbickel
date_created: 2021-12-17T08:13:51Z
date_updated: 2021-12-17T08:13:51Z
description: This document provides additional results and analyzes the robustness
and limitations of our approach.
file_id: '10562'
file_name: multistable-supplementary material.pdf
file_size: 3367072
relation: supplementary_material
title: Supplementary Material for “Computational Design of Planar Multistable Compliant
Structures”
file_date_updated: 2021-12-17T08:13:51Z
has_accepted_license: '1'
intvolume: ' 40'
isi: 1
issue: '5'
keyword:
- multistability
- mechanism
- computational design
- rigidity
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '642841'
name: Distributed 3D Object Design
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: Computational design of planar multistable compliant structures
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '9408'
abstract:
- lang: eng
text: We present a computational design system that assists users to model, optimize,
and fabricate quad-robots with soft skins. Our system addresses the challenging
task of predicting their physical behavior by fully integrating the multibody
dynamics of the mechanical skeleton and the elastic behavior of the soft skin.
The developed motion control strategy uses an alternating optimization scheme
to avoid expensive full space time-optimization, interleaving space-time optimization
for the skeleton, and frame-by-frame optimization for the full dynamics. The output
are motor torques to drive the robot to achieve a user prescribed motion trajectory.
We also provide a collection of convenient engineering tools and empirical manufacturing
guidance to support the fabrication of the designed quad-robot. We validate the
feasibility of designs generated with our system through physics simulations and
with a physically-fabricated prototype.
acknowledgement: The authors would like to thank anonymous reviewers for their constructive
comments. Weiwei Xu is partially supported by Zhejiang Lab. Yin Yang is partially
spported by NSF under Grant Nos. CHS 1845024 and 1717972. Weiwei Xu and Hujun Bao
are supported by Fundamental Research Funds for the Central Universities. This project
has received funding from the European Research Council (ERC) under the European
Unions Horizon 2020 research and innovation programme (Grant agreement No 715767).
article_number: 2881-2895
article_processing_charge: No
author:
- first_name: Xudong
full_name: Feng, Xudong
last_name: Feng
- first_name: Jiafeng
full_name: Liu, Jiafeng
last_name: Liu
- first_name: Huamin
full_name: Wang, Huamin
last_name: Wang
- first_name: Yin
full_name: Yang, Yin
last_name: Yang
- first_name: Hujun
full_name: Bao, Hujun
last_name: Bao
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Weiwei
full_name: Xu, Weiwei
last_name: Xu
citation:
ama: Feng X, Liu J, Wang H, et al. Computational design of skinned Quad-Robots.
IEEE Transactions on Visualization and Computer Graphics. 2021;27(6). doi:10.1109/TVCG.2019.2957218
apa: Feng, X., Liu, J., Wang, H., Yang, Y., Bao, H., Bickel, B., & Xu, W. (2021).
Computational design of skinned Quad-Robots. IEEE Transactions on Visualization
and Computer Graphics. IEEE. https://doi.org/10.1109/TVCG.2019.2957218
chicago: Feng, Xudong, Jiafeng Liu, Huamin Wang, Yin Yang, Hujun Bao, Bernd Bickel,
and Weiwei Xu. “Computational Design of Skinned Quad-Robots.” IEEE Transactions
on Visualization and Computer Graphics. IEEE, 2021. https://doi.org/10.1109/TVCG.2019.2957218.
ieee: X. Feng et al., “Computational design of skinned Quad-Robots,” IEEE
Transactions on Visualization and Computer Graphics, vol. 27, no. 6. IEEE,
2021.
ista: Feng X, Liu J, Wang H, Yang Y, Bao H, Bickel B, Xu W. 2021. Computational
design of skinned Quad-Robots. IEEE Transactions on Visualization and Computer
Graphics. 27(6), 2881–2895.
mla: Feng, Xudong, et al. “Computational Design of Skinned Quad-Robots.” IEEE
Transactions on Visualization and Computer Graphics, vol. 27, no. 6, 2881–2895,
IEEE, 2021, doi:10.1109/TVCG.2019.2957218.
short: X. Feng, J. Liu, H. Wang, Y. Yang, H. Bao, B. Bickel, W. Xu, IEEE Transactions
on Visualization and Computer Graphics 27 (2021).
date_created: 2021-05-23T22:01:42Z
date_published: 2021-06-01T00:00:00Z
date_updated: 2023-08-08T13:45:46Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1109/TVCG.2019.2957218
ec_funded: 1
external_id:
isi:
- '000649620700009'
pmid:
- '31804937'
file:
- access_level: open_access
checksum: a78e6ac94e33ade4ffaea66943d5f7dc
content_type: application/pdf
creator: kschuh
date_created: 2021-05-25T15:08:49Z
date_updated: 2021-05-25T15:08:49Z
file_id: '9427'
file_name: 2021_TVCG_Feng.pdf
file_size: 6183002
relation: main_file
success: 1
file_date_updated: 2021-05-25T15:08:49Z
has_accepted_license: '1'
intvolume: ' 27'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: IEEE Transactions on Visualization and Computer Graphics
publication_identifier:
eissn:
- '10772626'
issn:
- '19410506'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Computational design of skinned Quad-Robots
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 27
year: '2021'
...
---
_id: '9547'
abstract:
- lang: eng
text: With the wider availability of full-color 3D printers, color-accurate 3D-print
preparation has received increased attention. A key challenge lies in the inherent
translucency of commonly used print materials that blurs out details of the color
texture. Previous work tries to compensate for these scattering effects through
strategic assignment of colored primary materials to printer voxels. To date,
the highest-quality approach uses iterative optimization that relies on computationally
expensive Monte Carlo light transport simulation to predict the surface appearance
from subsurface scattering within a given print material distribution; that optimization,
however, takes in the order of days on a single machine. In our work, we dramatically
speed up the process by replacing the light transport simulation with a data-driven
approach. Leveraging a deep neural network to predict the scattering within a
highly heterogeneous medium, our method performs around two orders of magnitude
faster than Monte Carlo rendering while yielding optimization results of similar
quality level. The network is based on an established method from atmospheric
cloud rendering, adapted to our domain and extended by a physically motivated
weight sharing scheme that substantially reduces the network size. We analyze
its performance in an end-to-end print preparation pipeline and compare quality
and runtime to alternative approaches, and demonstrate its generalization to unseen
geometry and material values. This for the first time enables full heterogenous
material optimization for 3D-print preparation within time frames in the order
of the actual printing time.
acknowledgement: We thank Sebastian Cucerca for processing and capturing the phys-cal
printouts. This work was supported by the Charles University grant SVV-260588 and
Czech Science Foundation grant 19-07626S. This project has received funding from
the European Union’s Horizon 2020 research and innovation programme, under the Marie
Skłodowska Curie grant agreements No 642841 (DISTRO) and No765911 (RealVision),
and under the European Research Council grant agreement No 715767 (MATERIALIZABLE).
article_processing_charge: No
article_type: original
author:
- first_name: Tobias
full_name: Rittig, Tobias
last_name: Rittig
- first_name: Denis
full_name: Sumin, Denis
last_name: Sumin
- first_name: Vahid
full_name: Babaei, Vahid
last_name: Babaei
- first_name: Piotr
full_name: Didyk, Piotr
last_name: Didyk
- first_name: Alexey
full_name: Voloboy, Alexey
last_name: Voloboy
- first_name: Alexander
full_name: Wilkie, Alexander
last_name: Wilkie
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Karol
full_name: Myszkowski, Karol
last_name: Myszkowski
- first_name: Tim
full_name: Weyrich, Tim
last_name: Weyrich
- first_name: Jaroslav
full_name: Křivánek, Jaroslav
last_name: Křivánek
citation:
ama: Rittig T, Sumin D, Babaei V, et al. Neural acceleration of scattering-aware
color 3D printing. Computer Graphics Forum. 2021;40(2):205-219. doi:10.1111/cgf.142626
apa: Rittig, T., Sumin, D., Babaei, V., Didyk, P., Voloboy, A., Wilkie, A., … Křivánek,
J. (2021). Neural acceleration of scattering-aware color 3D printing. Computer
Graphics Forum. Wiley. https://doi.org/10.1111/cgf.142626
chicago: Rittig, Tobias, Denis Sumin, Vahid Babaei, Piotr Didyk, Alexey Voloboy,
Alexander Wilkie, Bernd Bickel, Karol Myszkowski, Tim Weyrich, and Jaroslav Křivánek.
“Neural Acceleration of Scattering-Aware Color 3D Printing.” Computer Graphics
Forum. Wiley, 2021. https://doi.org/10.1111/cgf.142626.
ieee: T. Rittig et al., “Neural acceleration of scattering-aware color 3D
printing,” Computer Graphics Forum, vol. 40, no. 2. Wiley, pp. 205–219,
2021.
ista: Rittig T, Sumin D, Babaei V, Didyk P, Voloboy A, Wilkie A, Bickel B, Myszkowski
K, Weyrich T, Křivánek J. 2021. Neural acceleration of scattering-aware color
3D printing. Computer Graphics Forum. 40(2), 205–219.
mla: Rittig, Tobias, et al. “Neural Acceleration of Scattering-Aware Color 3D Printing.”
Computer Graphics Forum, vol. 40, no. 2, Wiley, 2021, pp. 205–19, doi:10.1111/cgf.142626.
short: T. Rittig, D. Sumin, V. Babaei, P. Didyk, A. Voloboy, A. Wilkie, B. Bickel,
K. Myszkowski, T. Weyrich, J. Křivánek, Computer Graphics Forum 40 (2021) 205–219.
date_created: 2021-06-13T22:01:32Z
date_published: 2021-05-01T00:00:00Z
date_updated: 2023-08-14T08:01:50Z
day: '01'
ddc:
- '004'
department:
- _id: BeBi
doi: 10.1111/cgf.142626
ec_funded: 1
external_id:
isi:
- '000657959600017'
file:
- access_level: open_access
checksum: 33271724215f54a75c39d2ed40f2c502
content_type: application/pdf
creator: bbickel
date_created: 2021-10-11T12:06:50Z
date_updated: 2021-10-11T12:06:50Z
file_id: '10120'
file_name: ScatteringAwareColor3DPrinting_authorVersion.pdf
file_size: 26026501
relation: main_file
success: 1
file_date_updated: 2021-10-11T12:06:50Z
has_accepted_license: '1'
intvolume: ' 40'
isi: 1
issue: '2'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Submitted Version
page: 205-219
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '642841'
name: Distributed 3D Object Design
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Computer Graphics Forum
publication_identifier:
eissn:
- 1467-8659
issn:
- 0167-7055
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Neural acceleration of scattering-aware color 3D printing
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '10184'
abstract:
- lang: eng
text: "We introduce a novel technique to automatically decompose an input object’s
volume into a set of parts that can be represented by two opposite height fields.
Such decomposition enables the manufacturing of individual parts using two-piece
reusable rigid molds. Our decomposition strategy relies on a new energy formulation
that utilizes a pre-computed signal on the mesh volume representing the accessibility
for a predefined set of extraction directions. Thanks to this novel formulation,
our method allows for efficient optimization of a fabrication-aware partitioning
of volumes in a completely\r\nautomatic way. We demonstrate the efficacy of our
approach by generating valid volume partitionings for a wide range of complex
objects and physically reproducing several of them."
acknowledgement: 'The authors thank Marco Callieri for all his precious help with
the resin casts. The models used in the paper are courtesy of the Stanford 3D Scanning
Repository, the AIM@SHAPE Shape Repository, and Thingi10K Repository. The research
was partially funded by the European Research Council (ERC) MATERIALIZABLE: Intelligent
fabrication-oriented computational design and modeling (grant no. 715767).'
article_number: '272'
article_processing_charge: No
article_type: original
author:
- first_name: Thomas
full_name: Alderighi, Thomas
last_name: Alderighi
- first_name: Luigi
full_name: Malomo, Luigi
last_name: Malomo
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
- first_name: Paolo
full_name: Cignoni, Paolo
last_name: Cignoni
- first_name: Nico
full_name: Pietroni, Nico
last_name: Pietroni
citation:
ama: Alderighi T, Malomo L, Bickel B, Cignoni P, Pietroni N. Volume decomposition
for two-piece rigid casting. ACM Transactions on Graphics. 2021;40(6).
doi:10.1145/3478513.3480555
apa: Alderighi, T., Malomo, L., Bickel, B., Cignoni, P., & Pietroni, N. (2021).
Volume decomposition for two-piece rigid casting. ACM Transactions on Graphics.
Association for Computing Machinery. https://doi.org/10.1145/3478513.3480555
chicago: Alderighi, Thomas, Luigi Malomo, Bernd Bickel, Paolo Cignoni, and Nico
Pietroni. “Volume Decomposition for Two-Piece Rigid Casting.” ACM Transactions
on Graphics. Association for Computing Machinery, 2021. https://doi.org/10.1145/3478513.3480555.
ieee: T. Alderighi, L. Malomo, B. Bickel, P. Cignoni, and N. Pietroni, “Volume decomposition
for two-piece rigid casting,” ACM Transactions on Graphics, vol. 40, no.
6. Association for Computing Machinery, 2021.
ista: Alderighi T, Malomo L, Bickel B, Cignoni P, Pietroni N. 2021. Volume decomposition
for two-piece rigid casting. ACM Transactions on Graphics. 40(6), 272.
mla: Alderighi, Thomas, et al. “Volume Decomposition for Two-Piece Rigid Casting.”
ACM Transactions on Graphics, vol. 40, no. 6, 272, Association for Computing
Machinery, 2021, doi:10.1145/3478513.3480555.
short: T. Alderighi, L. Malomo, B. Bickel, P. Cignoni, N. Pietroni, ACM Transactions
on Graphics 40 (2021).
date_created: 2021-10-27T07:08:19Z
date_published: 2021-12-01T00:00:00Z
date_updated: 2024-02-28T12:52:48Z
day: '01'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3478513.3480555
ec_funded: 1
external_id:
isi:
- '000729846700077'
file:
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checksum: 384ece7a9ad1026787ba9560b04336d5
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creator: bbickel
date_created: 2021-10-27T07:08:07Z
date_updated: 2021-10-27T07:08:07Z
file_id: '10185'
file_name: rigidmolds-authorversion.pdf
file_size: 107708317
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file_date_updated: 2021-10-27T07:08:07Z
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isi: 1
issue: '6'
language:
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main_file_link:
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url: http://vcg.isti.cnr.it/Publications/2021/AMBCP21
month: '12'
oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- '1557-7368 '
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: Volume decomposition for two-piece rigid casting
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 40
year: '2021'
...
---
_id: '9817'
abstract:
- lang: eng
text: Elastic bending of initially flat slender elements allows the realization
and economic fabrication of intriguing curved shapes. In this work, we derive
an intuitive but rigorous geometric characterization of the design space of plane
elastic rods with variable stiffness. It enables designers to determine which
shapes are physically viable with active bending by visual inspection alone. Building
on these insights, we propose a method for efficiently designing the geometry
of a flat elastic rod that realizes a target equilibrium curve, which only requires
solving a linear program. We implement this method in an interactive computational
design tool that gives feedback about the feasibility of a design, and computes
the geometry of the structural elements necessary to realize it within an instant.
The tool also offers an iterative optimization routine that improves the fabricability
of a model while modifying it as little as possible. In addition, we use our geometric
characterization to derive an algorithm for analyzing and recovering the stability
of elastic curves that would otherwise snap out of their unstable equilibrium
shapes by buckling. We show the efficacy of our approach by designing and manufacturing
several physical models that are assembled from flat elements.
acknowledgement: "We thank the anonymous reviewers for their generous feedback, and
Michal Piovarči for his help in producing the supplemental video. This project has
received funding from the European Research Council (ERC) under the European Union’s
Horizon 2020 research and innovation programme (grant agreement No 715767).\r\n"
article_number: '126'
article_processing_charge: No
article_type: original
author:
- first_name: Christian
full_name: Hafner, Christian
id: 400429CC-F248-11E8-B48F-1D18A9856A87
last_name: Hafner
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Hafner C, Bickel B. The design space of plane elastic curves. ACM Transactions
on Graphics. 2021;40(4). doi:10.1145/3450626.3459800
apa: 'Hafner, C., & Bickel, B. (2021). The design space of plane elastic curves.
ACM Transactions on Graphics. Virtual: Association for Computing Machinery.
https://doi.org/10.1145/3450626.3459800'
chicago: Hafner, Christian, and Bernd Bickel. “The Design Space of Plane Elastic
Curves.” ACM Transactions on Graphics. Association for Computing Machinery,
2021. https://doi.org/10.1145/3450626.3459800.
ieee: C. Hafner and B. Bickel, “The design space of plane elastic curves,” ACM
Transactions on Graphics, vol. 40, no. 4. Association for Computing Machinery,
2021.
ista: Hafner C, Bickel B. 2021. The design space of plane elastic curves. ACM Transactions
on Graphics. 40(4), 126.
mla: Hafner, Christian, and Bernd Bickel. “The Design Space of Plane Elastic Curves.”
ACM Transactions on Graphics, vol. 40, no. 4, 126, Association for Computing
Machinery, 2021, doi:10.1145/3450626.3459800.
short: C. Hafner, B. Bickel, ACM Transactions on Graphics 40 (2021).
conference:
end_date: 2021-08-13
location: Virtual
name: 'SIGGRAF: Special Interest Group on Computer Graphics and Interactive Techniques'
start_date: 2021-08-09
date_created: 2021-08-08T22:01:26Z
date_published: 2021-07-19T00:00:00Z
date_updated: 2024-03-25T23:30:26Z
day: '19'
ddc:
- '516'
department:
- _id: BeBi
doi: 10.1145/3450626.3459800
ec_funded: 1
external_id:
isi:
- '000674930900091'
file:
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date_updated: 2021-10-18T10:42:15Z
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file_id: '10151'
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file_size: 547156
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file_date_updated: 2021-10-18T10:42:22Z
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intvolume: ' 40'
isi: 1
issue: '4'
keyword:
- Computing methodologies
- shape modeling
- modeling and simulation
- theory of computation
- computational geometry
- mathematics of computing
- mathematical optimization
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on IST Website
relation: press_release
url: https://ist.ac.at/en/news/designing-with-elastic-structures/
record:
- id: '12897'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: The design space of plane elastic curves
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 40
year: '2021'
...
---
_id: '8366'
abstract:
- lang: eng
text: "Fabrication of curved shells plays an important role in modern design, industry,
and science. Among their remarkable properties are, for example, aesthetics of
organic shapes, ability to evenly distribute loads, or efficient flow separation.
They find applications across vast length scales ranging from sky-scraper architecture
to microscopic devices. But, at\r\nthe same time, the design of curved shells
and their manufacturing process pose a variety of challenges. In this thesis,
they are addressed from several perspectives. In particular, this thesis presents
approaches based on the transformation of initially flat sheets into the target
curved surfaces. This involves problems of interactive design of shells with nontrivial
mechanical constraints, inverse design of complex structural materials, and data-driven
modeling of delicate and time-dependent physical properties. At the same time,
two newly-developed self-morphing mechanisms targeting flat-to-curved transformation
are presented.\r\nIn architecture, doubly curved surfaces can be realized as cold
bent glass panelizations. Originally flat glass panels are bent into frames and
remain stressed. This is a cost-efficient fabrication approach compared to hot
bending, when glass panels are shaped plastically. However such constructions
are prone to breaking during bending, and it is highly\r\nnontrivial to navigate
the design space, keeping the panels fabricable and aesthetically pleasing at
the same time. We introduce an interactive design system for cold bent glass façades,
while previously even offline optimization for such scenarios has not been sufficiently
developed. Our method is based on a deep learning approach providing quick\r\nand
high precision estimation of glass panel shape and stress while handling the shape\r\nmultimodality.\r\nFabrication
of smaller objects of scales below 1 m, can also greatly benefit from shaping
originally flat sheets. In this respect, we designed new self-morphing shell mechanisms
transforming from an initial flat state to a doubly curved state with high precision
and detail. Our so-called CurveUps demonstrate the encodement of the geometric
information\r\ninto the shell. Furthermore, we explored the frontiers of programmable
materials and showed how temporal information can additionally be encoded into
a flat shell. This allows prescribing deformation sequences for doubly curved
surfaces and, thus, facilitates self-collision avoidance enabling complex shapes
and functionalities otherwise impossible.\r\nBoth of these methods include inverse
design tools keeping the user in the design loop."
acknowledged_ssus:
- _id: M-Shop
- _id: ScienComp
acknowledgement: "During the work on this thesis, I received substantial support from
IST Austria’s scientific service units. A big thank you to Todor Asenov and other
Miba Machine Shop team members for their help with fabrication of experimental prototypes.
In addition, I would like to thank Scientific Computing team for the support with
high performance computing.\r\nFinancial support was provided by the European Research
Council (ERC) under grant agreement No 715767 - MATERIALIZABLE: Intelligent fabrication-oriented
Computational Design and Modeling, which I gratefully acknowledge."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
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full_name: Guseinov, Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
citation:
ama: 'Guseinov R. Computational design of curved thin shells: From glass façades
to programmable matter. 2020. doi:10.15479/AT:ISTA:8366'
apa: 'Guseinov, R. (2020). Computational design of curved thin shells: From glass
façades to programmable matter. Institute of Science and Technology Austria.
https://doi.org/10.15479/AT:ISTA:8366'
chicago: 'Guseinov, Ruslan. “Computational Design of Curved Thin Shells: From Glass
Façades to Programmable Matter.” Institute of Science and Technology Austria,
2020. https://doi.org/10.15479/AT:ISTA:8366.'
ieee: 'R. Guseinov, “Computational design of curved thin shells: From glass façades
to programmable matter,” Institute of Science and Technology Austria, 2020.'
ista: 'Guseinov R. 2020. Computational design of curved thin shells: From glass
façades to programmable matter. Institute of Science and Technology Austria.'
mla: 'Guseinov, Ruslan. Computational Design of Curved Thin Shells: From Glass
Façades to Programmable Matter. Institute of Science and Technology Austria,
2020, doi:10.15479/AT:ISTA:8366.'
short: 'R. Guseinov, Computational Design of Curved Thin Shells: From Glass Façades
to Programmable Matter, Institute of Science and Technology Austria, 2020.'
date_created: 2020-09-10T16:19:55Z
date_published: 2020-09-21T00:00:00Z
date_updated: 2024-02-21T12:44:29Z
day: '21'
ddc:
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degree_awarded: PhD
department:
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doi: 10.15479/AT:ISTA:8366
ec_funded: 1
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date_updated: 2020-09-16T15:11:01Z
file_id: '8374'
file_name: thesis_source.zip
file_size: 76207597
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keyword:
- computer-aided design
- shape modeling
- self-morphing
- mechanical engineering
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '118'
project:
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call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication_identifier:
isbn:
- 978-3-99078-010-7
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '7151'
relation: research_data
status: deleted
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relation: part_of_dissertation
status: public
- id: '8562'
relation: part_of_dissertation
status: public
- id: '1001'
relation: part_of_dissertation
status: public
- id: '8375'
relation: research_data
status: public
status: public
supervisor:
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
title: 'Computational design of curved thin shells: From glass façades to programmable
matter'
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
---
_id: '8375'
abstract:
- lang: eng
text: 'Supplementary movies showing the following sequences for spatio-temporarily
programmed shells: input geometry and actuation time landscape; comparison of
morphing processes from a camera recording and a simulation; final actuated shape.'
article_processing_charge: No
author:
- first_name: Ruslan
full_name: Guseinov, Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
citation:
ama: 'Guseinov R. Supplementary data for “Computational design of curved thin shells:
from glass façades to programmable matter.” 2020. doi:10.15479/AT:ISTA:8375'
apa: 'Guseinov, R. (2020). Supplementary data for “Computational design of curved
thin shells: from glass façades to programmable matter.” Institute of Science
and Technology Austria. https://doi.org/10.15479/AT:ISTA:8375'
chicago: 'Guseinov, Ruslan. “Supplementary Data for ‘Computational Design of Curved
Thin Shells: From Glass Façades to Programmable Matter.’” Institute of Science
and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8375.'
ieee: 'R. Guseinov, “Supplementary data for ‘Computational design of curved thin
shells: from glass façades to programmable matter.’” Institute of Science and
Technology Austria, 2020.'
ista: 'Guseinov R. 2020. Supplementary data for ‘Computational design of curved
thin shells: from glass façades to programmable matter’, Institute of Science
and Technology Austria, 10.15479/AT:ISTA:8375.'
mla: 'Guseinov, Ruslan. Supplementary Data for “Computational Design of Curved
Thin Shells: From Glass Façades to Programmable Matter.” Institute of Science
and Technology Austria, 2020, doi:10.15479/AT:ISTA:8375.'
short: R. Guseinov, (2020).
contributor:
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first_name: Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
- contributor_type: researcher
first_name: Connor
last_name: McMahan
- contributor_type: researcher
first_name: Jesus
id: 2DC83906-F248-11E8-B48F-1D18A9856A87
last_name: Perez Rodriguez
- contributor_type: researcher
first_name: Chiara
last_name: Daraio
- contributor_type: researcher
first_name: Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
date_created: 2020-09-11T09:52:54Z
date_published: 2020-09-21T00:00:00Z
date_updated: 2024-02-21T12:44:29Z
day: '21'
ddc:
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department:
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doi: 10.15479/AT:ISTA:8375
ec_funded: 1
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project:
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call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publisher: Institute of Science and Technology Austria
related_material:
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status: public
status: public
title: 'Supplementary data for "Computational design of curved thin shells: from glass
façades to programmable matter"'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '8386'
abstract:
- lang: eng
text: "Form versus function is a long-standing debate in various design-related
fields, such as architecture as well as graphic and industrial design. A good
design that balances form and function often requires considerable human effort
and collaboration among experts from different professional fields. Computational
design tools provide a new paradigm for designing functional objects. In computational
design, form and function are represented as mathematical\r\nquantities, with
the help of numerical and combinatorial algorithms, they can assist even novice
users in designing versatile models that exhibit their desired functionality.
This thesis presents three disparate research studies on the computational design
of functional objects: The appearance of 3d print—we optimize the volumetric material
distribution for faithfully replicating colored surface texture in 3d printing;
the dynamic motion of mechanical structures—\r\nour design system helps the novice
user to retarget various mechanical templates with different functionality to
complex 3d shapes; and a more abstract functionality, multistability—our algorithm
automatically generates models that exhibit multiple stable target poses. For
each of these cases, our computational design tools not only ensure the functionality
of the results but also permit the user aesthetic freedom over the form. Moreover,
fabrication constraints\r\nwere taken into account, which allow for the immediate
creation of physical realization via 3D printing or laser cutting."
acknowledged_ssus:
- _id: SSU
acknowledgement: The research in this thesis has received funding from the European
Union’s Horizon 2020 research and innovation programme, under the Marie Skłodowska-Curie
grant agreement No 642841 (DISTRO) and the European Research Council grant agreement
No 715767 (MATERIALIZABLE). All the research projects in this thesis were also supported
by Scientific Service Units (SSUs) at IST Austria.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Ran
full_name: Zhang, Ran
id: 4DDBCEB0-F248-11E8-B48F-1D18A9856A87
last_name: Zhang
orcid: 0000-0002-3808-281X
citation:
ama: Zhang R. Structure-aware computational design and its application to 3D printable
volume scattering, mechanism, and multistability. 2020. doi:10.15479/AT:ISTA:8386
apa: Zhang, R. (2020). Structure-aware computational design and its application
to 3D printable volume scattering, mechanism, and multistability. Institute
of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8386
chicago: Zhang, Ran. “Structure-Aware Computational Design and Its Application to
3D Printable Volume Scattering, Mechanism, and Multistability.” Institute of Science
and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8386.
ieee: R. Zhang, “Structure-aware computational design and its application to 3D
printable volume scattering, mechanism, and multistability,” Institute of Science
and Technology Austria, 2020.
ista: Zhang R. 2020. Structure-aware computational design and its application to
3D printable volume scattering, mechanism, and multistability. Institute of Science
and Technology Austria.
mla: Zhang, Ran. Structure-Aware Computational Design and Its Application to
3D Printable Volume Scattering, Mechanism, and Multistability. Institute of
Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8386.
short: R. Zhang, Structure-Aware Computational Design and Its Application to 3D
Printable Volume Scattering, Mechanism, and Multistability, Institute of Science
and Technology Austria, 2020.
date_created: 2020-09-14T01:04:53Z
date_published: 2020-09-14T00:00:00Z
date_updated: 2023-09-22T09:49:31Z
day: '14'
ddc:
- '003'
degree_awarded: PhD
department:
- _id: BeBi
doi: 10.15479/AT:ISTA:8386
ec_funded: 1
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language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
page: '148'
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '642841'
name: Distributed 3D Object Design
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '486'
relation: part_of_dissertation
status: public
- id: '1002'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
title: Structure-aware computational design and its application to 3D printable volume
scattering, mechanism, and multistability
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2020'
...
---
_id: '8562'
abstract:
- lang: eng
text: "Cold bent glass is a promising and cost-efficient method for realizing doubly
curved glass facades. They are produced by attaching planar glass sheets to curved
frames and require keeping the occurring stress within safe limits.\r\nHowever,
it is very challenging to navigate the design space of cold bent glass panels
due to the fragility of the material, which impedes the form-finding for practically
feasible and aesthetically pleasing cold bent glass facades. We propose an interactive,
data-driven approach for designing cold bent glass facades that can be seamlessly
integrated into a typical architectural design pipeline. Our method allows non-expert
users to interactively edit a parametric surface while providing real-time feedback
on the deformed shape and maximum stress of cold bent glass panels. Designs are
automatically refined to minimize several fairness criteria while maximal stresses
are kept within glass limits. We achieve interactive frame rates by using a differentiable
Mixture Density Network trained from more than a million simulations. Given a
curved boundary, our regression model is capable of handling multistable\r\nconfigurations
and accurately predicting the equilibrium shape of the panel and its corresponding
maximal stress. We show predictions are highly accurate and validate our results
with a physical realization of a cold bent glass surface."
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "We thank IST Austria’s Scientific Computing team for their support,
Corinna Datsiou and Sophie Pennetier for their expert input on the practical applications
of cold bent glass, and Zaha Hadid Architects and Waagner Biro for providing the
architectural datasets. Photo of Fondation Louis Vuitton by Francisco Anzola / CC
BY 2.0 / cropped.\r\nPhoto of Opus by Danica O. Kus. This project has received funding
from the European Union’s\r\nHorizon 2020 research and innovation program under
grant agreement No 675789 - Algebraic Representations in Computer-Aided Design for
complEx Shapes (ARCADES), from the European Research Council (ERC) under grant agreement
No 715767 - MATERIALIZABLE: Intelligent fabrication-oriented Computational Design
and Modeling, and SFB-Transregio “Discretization in Geometry and Dynamics” through
grant I 2978 of the Austrian Science Fund (FWF). F. Rist and K. Gavriil have been
partially supported by KAUST baseline funding."
article_number: '208'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Konstantinos
full_name: Gavriil, Konstantinos
last_name: Gavriil
- first_name: Ruslan
full_name: Guseinov, Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
- first_name: Jesus
full_name: Perez Rodriguez, Jesus
id: 2DC83906-F248-11E8-B48F-1D18A9856A87
last_name: Perez Rodriguez
- first_name: Davide
full_name: Pellis, Davide
last_name: Pellis
- first_name: Paul M
full_name: Henderson, Paul M
id: 13C09E74-18D9-11E9-8878-32CFE5697425
last_name: Henderson
orcid: 0000-0002-5198-7445
- first_name: Florian
full_name: Rist, Florian
last_name: Rist
- first_name: Helmut
full_name: Pottmann, Helmut
last_name: Pottmann
- first_name: Bernd
full_name: Bickel, Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
citation:
ama: Gavriil K, Guseinov R, Perez Rodriguez J, et al. Computational design of cold
bent glass façades. ACM Transactions on Graphics. 2020;39(6). doi:10.1145/3414685.3417843
apa: Gavriil, K., Guseinov, R., Perez Rodriguez, J., Pellis, D., Henderson, P. M.,
Rist, F., … Bickel, B. (2020). Computational design of cold bent glass façades.
ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3414685.3417843
chicago: Gavriil, Konstantinos, Ruslan Guseinov, Jesus Perez Rodriguez, Davide Pellis,
Paul M Henderson, Florian Rist, Helmut Pottmann, and Bernd Bickel. “Computational
Design of Cold Bent Glass Façades.” ACM Transactions on Graphics. Association
for Computing Machinery, 2020. https://doi.org/10.1145/3414685.3417843.
ieee: K. Gavriil et al., “Computational design of cold bent glass façades,”
ACM Transactions on Graphics, vol. 39, no. 6. Association for Computing
Machinery, 2020.
ista: Gavriil K, Guseinov R, Perez Rodriguez J, Pellis D, Henderson PM, Rist F,
Pottmann H, Bickel B. 2020. Computational design of cold bent glass façades. ACM
Transactions on Graphics. 39(6), 208.
mla: Gavriil, Konstantinos, et al. “Computational Design of Cold Bent Glass Façades.”
ACM Transactions on Graphics, vol. 39, no. 6, 208, Association for Computing
Machinery, 2020, doi:10.1145/3414685.3417843.
short: K. Gavriil, R. Guseinov, J. Perez Rodriguez, D. Pellis, P.M. Henderson, F.
Rist, H. Pottmann, B. Bickel, ACM Transactions on Graphics 39 (2020).
date_created: 2020-09-23T11:30:02Z
date_published: 2020-11-26T00:00:00Z
date_updated: 2024-02-21T12:43:21Z
day: '26'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3414685.3417843
ec_funded: 1
external_id:
arxiv:
- '2009.03667'
isi:
- '000595589100048'
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language:
- iso: eng
month: '11'
oa: 1
oa_version: Submitted Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: ACM Transactions on Graphics
publication_identifier:
eissn:
- 1557-7368
issn:
- 0730-0301
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/bend-dont-break/
record:
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relation: dissertation_contains
status: public
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relation: research_data
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scopus_import: '1'
status: public
title: Computational design of cold bent glass façades
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 39
year: '2020'
...
---
_id: '8761'
acknowledged_ssus:
- _id: ScienComp
article_processing_charge: No
author:
- first_name: Ruslan
full_name: Guseinov, Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
citation:
ama: Guseinov R. Supplementary data for “Computational design of cold bent glass
façades.” 2020. doi:10.15479/AT:ISTA:8761
apa: Guseinov, R. (2020). Supplementary data for “Computational design of cold bent
glass façades.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8761
chicago: Guseinov, Ruslan. “Supplementary Data for ‘Computational Design of Cold
Bent Glass Façades.’” Institute of Science and Technology Austria, 2020. https://doi.org/10.15479/AT:ISTA:8761.
ieee: R. Guseinov, “Supplementary data for ‘Computational design of cold bent glass
façades.’” Institute of Science and Technology Austria, 2020.
ista: Guseinov R. 2020. Supplementary data for ‘Computational design of cold bent
glass façades’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:8761.
mla: Guseinov, Ruslan. Supplementary Data for “Computational Design of Cold Bent
Glass Façades.” Institute of Science and Technology Austria, 2020, doi:10.15479/AT:ISTA:8761.
short: R. Guseinov, (2020).
contributor:
- contributor_type: researcher
first_name: Konstantinos
last_name: Gavriil
- contributor_type: researcher
first_name: Ruslan
id: 3AB45EE2-F248-11E8-B48F-1D18A9856A87
last_name: Guseinov
orcid: 0000-0001-9819-5077
- contributor_type: researcher
first_name: Jesus
id: 2DC83906-F248-11E8-B48F-1D18A9856A87
last_name: Perez Rodriguez
- contributor_type: researcher
first_name: Davide
last_name: Pellis
- contributor_type: researcher
first_name: Paul M
id: 13C09E74-18D9-11E9-8878-32CFE5697425
last_name: Henderson
orcid: 0000-0002-5198-7445
- contributor_type: researcher
first_name: Florian
last_name: Rist
- contributor_type: researcher
first_name: Helmut
last_name: Pottmann
- contributor_type: researcher
first_name: Bernd
id: 49876194-F248-11E8-B48F-1D18A9856A87
last_name: Bickel
orcid: 0000-0001-6511-9385
date_created: 2020-11-16T10:47:18Z
date_published: 2020-11-23T00:00:00Z
date_updated: 2024-02-21T12:43:22Z
day: '23'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.15479/AT:ISTA:8761
ec_funded: 1
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success: 1
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month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publisher: Institute of Science and Technology Austria
related_material:
link:
- relation: software
url: https://github.com/russelmann/cold-glass-acm
record:
- id: '8562'
relation: used_in_publication
status: public
status: public
title: Supplementary data for "Computational design of cold bent glass façades"
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...
---
_id: '8766'
abstract:
- lang: eng
text: "The “procedural” approach to animating ocean waves is the dominant algorithm
for animating larger bodies of water in\r\ninteractive applications as well as
in off-line productions — it provides high visual quality with a low computational
demand. In this paper, we widen the applicability of procedural water wave animation
with an extension that guarantees the satisfaction of boundary conditions imposed
by terrain while still approximating physical wave behavior. In combination with
a particle system that models wave breaking, foam, and spray, this allows us to
naturally model waves interacting with beaches and rocks. Our system is able to
animate waves at large scales at interactive frame rates on a commodity PC."
article_processing_charge: No
article_type: original
author:
- first_name: Stefan
full_name: Jeschke, Stefan
id: 44D6411A-F248-11E8-B48F-1D18A9856A87
last_name: Jeschke
- first_name: Christian
full_name: Hafner, Christian
id: 400429CC-F248-11E8-B48F-1D18A9856A87
last_name: Hafner
- first_name: Nuttapong
full_name: Chentanez, Nuttapong
last_name: Chentanez
- first_name: Miles
full_name: Macklin, Miles
last_name: Macklin
- first_name: Matthias
full_name: Müller-Fischer, Matthias
last_name: Müller-Fischer
- first_name: Christopher J
full_name: Wojtan, Christopher J
id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87
last_name: Wojtan
orcid: 0000-0001-6646-5546
citation:
ama: Jeschke S, Hafner C, Chentanez N, Macklin M, Müller-Fischer M, Wojtan C. Making
procedural water waves boundary-aware. Computer Graphics forum. 2020;39(8):47-54.
doi:10.1111/cgf.14100
apa: 'Jeschke, S., Hafner, C., Chentanez, N., Macklin, M., Müller-Fischer, M., &
Wojtan, C. (2020). Making procedural water waves boundary-aware. Computer Graphics
Forum. Online Symposium: Wiley. https://doi.org/10.1111/cgf.14100'
chicago: Jeschke, Stefan, Christian Hafner, Nuttapong Chentanez, Miles Macklin,
Matthias Müller-Fischer, and Chris Wojtan. “Making Procedural Water Waves Boundary-Aware.”
Computer Graphics Forum. Wiley, 2020. https://doi.org/10.1111/cgf.14100.
ieee: S. Jeschke, C. Hafner, N. Chentanez, M. Macklin, M. Müller-Fischer, and C.
Wojtan, “Making procedural water waves boundary-aware,” Computer Graphics forum,
vol. 39, no. 8. Wiley, pp. 47–54, 2020.
ista: Jeschke S, Hafner C, Chentanez N, Macklin M, Müller-Fischer M, Wojtan C. 2020.
Making procedural water waves boundary-aware. Computer Graphics forum. 39(8),
47–54.
mla: Jeschke, Stefan, et al. “Making Procedural Water Waves Boundary-Aware.” Computer
Graphics Forum, vol. 39, no. 8, Wiley, 2020, pp. 47–54, doi:10.1111/cgf.14100.
short: S. Jeschke, C. Hafner, N. Chentanez, M. Macklin, M. Müller-Fischer, C. Wojtan,
Computer Graphics Forum 39 (2020) 47–54.
conference:
end_date: 2020-10-09
location: Online Symposium
name: 'SCA: Symposium on Computer Animation'
start_date: 2020-10-06
date_created: 2020-11-17T10:47:48Z
date_published: 2020-12-01T00:00:00Z
date_updated: 2024-02-28T13:58:11Z
day: '01'
department:
- _id: ChWo
- _id: BeBi
doi: 10.1111/cgf.14100
ec_funded: 1
external_id:
isi:
- '000591780400005'
intvolume: ' 39'
isi: 1
issue: '8'
language:
- iso: eng
month: '12'
oa_version: None
page: 47-54
project:
- _id: 2533E772-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '638176'
name: Efficient Simulation of Natural Phenomena at Extremely Large Scales
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
publication: Computer Graphics forum
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Making procedural water waves boundary-aware
type: journal_article
user_id: 2EBD1598-F248-11E8-B48F-1D18A9856A87
volume: 39
year: '2020'
...