Time |
Activity |
09:00 - 09:15 |
Workshop opening |
09:15 - 09:45 |
Yashraj Narang: Using and building simulation models for deformable-object manipulation
|
09:45 - 10:15 |
Jia Pan: Nonprehensile manipulation of cloth pieces |
10:15 - 10:45 |
Spotlight talks #1
- Mingrui Yu, Kangchen Lv, Changhao Wang, Masayoshi TOMIZUKA, Xiang Li - A Coarse-to-Fine Framework for Dual-Arm Manipulation of Deformable Linear Objects with Whole-Body Obstacle Avoidance [PDF] [Video]
- Melvin Laux, Chandandeep Singh, Alexander Fabisch - Grasping 3D Deformable Objects via Reinforcement Learning: A Benchmark and Evaluation [PDF] [Video]
- Tran Nguyen-Le, Fares Abu-Dakka, Ville Kyrki - SPONGE: Sequence Planning with Deformable-ON-Rigid Contact Prediction from Geometric Features [PDF] [Video]
- Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg - Bagging by Learning to Singulate Layers Using Interactive Perception [PDF] [Video]
- Ignacio Cuiral-Zueco, Gonzalo Lopez-Nicolas - Mesh estimation for abrupt deformations of texture-less objects [PDF] [Video]
- Huo Shengzeng, Jihong Zhu, Hesheng Wang, David Navarro-Alarcon - A Contrastive Learning-based Planning and Control Framework for Symbolic Manipulation of Deformable Linear Objects [PDF] [Video]
- Niklas Fiedler, Ge Gao, Fangwei Zhong, Jianwei Zhang - MultimodalClothes: A Multimodal Real-World Dataset for Robotic Clothes Classification [PDF] [Video]
- Alex LaGrassa, Moonyoung Lee, Oliver Kroemer - Active Learning of Model Preconditions for Model-Deviation Aware Planning in Deformable Object Manipulation [PDF] [Video]
- Yifei Dong, Florian T. Pokorny - Soft Fixtures: Towards Practical Caging-Based Manipulation of Rigid and Deformable Objects [PDF] [Video]
- Kangchen Lv, Mingrui Yu, Yifan Pu, Xin Jiang, Gao Huang, Xiang Li - Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds [PDF] [Video]
- Robert Lee, Jad Abou-Chakra, Fangyi Zhang, Peter Corke - Learning Fabric Manipulation in the Real World with Human Videos [PDF] [Video]
- Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang - GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning [PDF] [Video]
|
10:45 - 11:30 |
Coffee break + Posters session #1
- A Coarse-to-Fine Framework for Dual-Arm Manipulation of Deformable Linear Objects with Whole-Body Obstacle Avoidance
- Grasping 3D Deformable Objects via Reinforcement Learning: A Benchmark and Evaluation
- SPONGE: Sequence Planning with Deformable-ON-Rigid Contact Prediction from Geometric Features
- Bagging by Learning to Singulate Layers Using Interactive Perception
- A Coarse-to-Fine Framework for Dual-Arm Manipulation of Deformable Linear Objects with Whole-Body Obstacle Avoidance
- Mesh estimation for abrupt deformations of texture-less objects
- A Contrastive Learning-based Planning and Control Framework for Symbolic Manipulation of Deformable Linear Objects
- MultimodalClothes: A Multimodal Real-World Dataset for Robotic Clothes Classification
- Active Learning of Model Preconditions for Model-Deviation Aware Planning in Deformable Object Manipulation
- Soft Fixtures: Towards Practical Caging-Based Manipulation of Rigid and Deformable Objects
- Learning to Estimate 3-D States of Deformable Linear Objects from Single-Frame Occluded Point Clouds
|
11:30 – 12:00 |
Yiannis Demiris: Robot-assisted Dressing: bimanual policies for deformable object manipulation |
12:00 – 12:30 |
Elena De Momi: AI-based techniques for improving tool-tissue interaction in robotic surgery |
12:30 - 13:45 |
Lunch |
13:45 – 14:15 |
Jihong Zhu: Deformable Object Manipulation: Fundamental challenges and promising applications |
14:15 – 14:45 |
Emo Todorov: New soft-body modeling capabilities in MuJoCo
|
14:45 – 15:15 |
Carme Torras: Cloth representation and manipulation within the CLOTHILDE project
|
15:15 – 15:45 |
Spotlight talks #2
- Xiangyu Chu, Shengzhi Wang, Minjian Feng, Jiaxi Zheng, Yuxuan Zhao, Jing Huang, K. W. Samuel Au - Model-Free Large-Scale Cloth Spreading With Mobile Manipulation: Initial Feasibility Study [PDF] [Video]
- David Blanco-Mulero, Gokhan Alcan, Fares Abu-Dakka, Ville Kyrki - QDP: Learning to Sequentially Optimise Quasi-Static and Dynamic Manipulation Primitives for Robotic Cloth Manipulation [PDF] [Video]
- Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael Welle, David Held, Zackory Erickson, Danica Kragic - EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics [PDF] [Video]
- Michał Bidziński, Piotr Kicki, Krzysztof Walas - Towards learning quasi-static models of markerless deformable linear objects for bimanual robotic manipulation [PDF] [Video]
- Rita Laezza, Mohammadreza Shetab-Bushehri, Erol Özgür, Youcef Mezouar, Yiannis Karayiannidis - Offline Reinforcement Learning for Shape Control of Deformable Linear Objects from Limited Real Data [PDF] [Video]
- Jingyi Xiang, Holly Dinkel - Simultaneous Shape Tracking of Multiple Deformable Linear Objects with Global-Local Topology Preservation [PDF] [Video]
- Ananya Bal, Ashutosh Gupta, Cecilia Morales, Artur Dubrawski, John Galeotti, Howie Choset - 3D Deformation Simulation for Vascular Tissue with 2D Medical Imaging [PDF] [Video]
- Adrien Koessler, C. Bouzgarrou - Semantic description of methods for robotic deformable object manipulation [PDF] [Video]
- Kejia Chen, Zhenshan Bing, Fan Wu, Yuan Meng, Sami Haddadin, Alois Knoll - Contact-aware Shaping and Maintenance of Deformable Linear Objects With Fixtures [PDF] [Video]
- Yixuan Wang, Yunzhu Li, Katherine Driggs-Campbell, Li Fei-Fei, Jiajun Wu - Dynamic-Resolution Model Learning for Object Pile Manipulation [PDF] [Video]
- Shangjie Xue, Shuo Cheng, Pujith Kachana, Danfei Xu - Deep Field Dynamics Model for Granular Object Piles Manipulation [PDF] [Video]
|
15:45- 16:30 |
Coffee break + Posters session #2
- Model-Free Large-Scale Cloth Spreading With Mobile Manipulation: Initial Feasibility Study
- QDP: Learning to Sequentially Optimise Quasi-Static and Dynamic Manipulation Primitives for Robotic Cloth Manipulation
- EDO-Net: Learning Elastic Properties of Deformable Objects from Graph Dynamics
- Towards learning quasi-static models of markerless deformable linear objects for bimanual robotic manipulation
- Offline Reinforcement Learning for Shape Control of Deformable Linear Objects from Limited Real Data
- Simultaneous Shape Tracking of Multiple Deformable Linear Objects with Global-Local Topology Preservation
- 3D Deformation Simulation for Vascular Tissue with 2D Medical Imaging
- Semantic description of methods for robotic deformable object manipulation
|
16:30 – 17:00 |
Yunzhu Li: Structured Model Learning for Deformable Object Manipulation |
17:00 – 17:30 |
Nima Fazeli: Recent advances in Multimodal Implicit Representations of Deformable Objects |
17:30 – 18:00 |
Panel discussion |
18:00 – 18:15 |
Closing remarks |
Call for papers
We invite participants to submit extended abstracts 3+n pages, with n pages (no page-limit) for the bibliography, in the IEEE conference style.
Submissions will be reviewed by experts of their respective field. The accepted abstracts will be made available on the workshop website but will not appear in the official IEEE conference proceedings.
Participants are encouraged to submit their recent work on the topics of interest mentioned above.
Contributions are encouraged, but are not required, to be original.
The review process will be single-blind, meaning the submitted paper does not need to be anonymized.
Abstracts can be submitted through Microsoft CMT: https://cmt3.research.microsoft.com/WDOICRA2023.
Important dates (final extension):
- Submission Deadline:
10.04.2023 19.04.2023 (23:59 PST)
- Notification date:
30.04.2023 07.05.2023 (23:59 PST)
- Final submission:
14.05.2023 21.05.2023 (23:59 PST)
- Workshop date: 29.05.2023
IEEE RAS Computer & Robot Vision workshop award
We are happy to announce the WDO Best Paper Award sponsored by the IEEE RAS Technical Committee Computer & Robot Vision.
The selected paper will receive a prize of 300$.
Any contribution submitted to the workshop will be automatically considered for the award.
Update June 02, 2023: we are excited to announce that the winner of the best paper award at the workshop is:
Mingrui Yu, Kangchen Lv, Changhao Wang, Masayoshi Tomizuka, Xiang Li. A Coarse-to-Fine Framework for Dual-Arm Manipulation of Deformable Linear Objects with Whole-Body Obstacle Avoidance.