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Robotic grasping of 3D deformable objects is critical for real-world applications such as food handling and robotic surgery.
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Anis Sahbani, Sahar El-Khoury, and Philippe Bidaud · 2012
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M. C. Gemici and A. Saxena · 2014
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Yan-Bin Jia, Feng Guo, and Huan Lin · 2014
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Nicolas Lauzier · 2016
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Dex-Net 2.0: Deep learning to plan robust grasps with synthetic point clouds and analytic grasp metrics
Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, and Ken Goldberg · 2017
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Robotic manipulation and sensing of deformable objects in domestic and industrial applications: A survey
Jose Sanchez, Juan-Antonio Corrales, Belhassen-Chedli Bouzgarrou, and Youcef Mezouar · 2018
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6-DOF GraspNet: Variational grasp generation for object manipulation
Arsalan Mousavian, Clemens Eppner, and Dieter Fox · 2019
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Timothy P Lillicrap and Adam Santoro · 2019
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The power and importance of sensing technologies, 2019
OnRobot · 2019
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ChainQueen: A real-time differentiable physical simulator for soft robotics
Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B Tenenbaum, William T Freeman, Jiajun Wu, Daniela Rus, and Wojciech Matusik · 2019
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Charles C Margossian · 2019
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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Maziar Raissi, Paris Perdikaris, and George E Karniadakis · 2019
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On the similarities and differences among contact models in robot simulation
Peter C Horak and Jeff C Trinkle · 2019
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Learning mesh-based simulation with graph networks
Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, and Peter Battaglia · 2021
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Parallel gripper: From micro assembly to heavy-load handling, 2021
Schunk · 2021
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Brax: A differentiable physics engine for large scale rigid body simulation
C. Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor Mordatch, and Olivier Bachem · 2021
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NeuralSim: Augmenting differentiable simulators with neural networks
Eric Heiden, David Millard, Erwin Coumans, Yizhou Sheng, and Gaurav S Sukhatme · 2021
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Fast and feature-complete differentiable physics for articulated rigid bodies with contact
Keenon Werling, Dalton Omens, Jeongseok Lee, Ioannis Exarchos, and C Karen Liu · 2021
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PlasticineLab: A soft-body manipulation benchmark with differentiable physics
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Miles Macklin, Kenny Erleben, Matthias Müller, Nuttapong Chentanez, Stefan Jeschke, and Viktor Makoviychuk · 2019
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A billion ways to grasp: An evaluation of grasp sampling schemes on a dense, physics-based grasp data set
Clemens Eppner, Arsalan Mousavian, and Dieter Fox · 2019
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4D spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
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Modeling of deformable objects for robotic manipulation: A tutorial and review
Veronica E. Arriola-Rios, Puren Guler, Fanny Ficuciello, Danica Kragic, Bruno Siciliano, and Jeremy L. Wyatt · 2020
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Multi-fingered grasp planning via inference in deep neural networks
Qingkai Lu, Mark Van der Merwe, Balakumar Sundaralingam, and Tucker Hermans · 2020
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Minimal work: A grasp quality metric for deformable hollow objects
J. Xu, M. Danielczuk, J. Ichnowski, J. Mahler, E. Steinbach, and K. Goldberg · 2020
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Grasping fragile objects using a stress-minimization metric
Z. Pan, X. Gao, and D. Manocha · 2020
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Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B Tenenbaum, and Chuang Gan · 2021
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An end-to-end differentiable framework for contact-aware robot design
Jie Xu, Tao Chen, Lara Zlokapa, Michael Foshey, Wojciech Matusik, Shinjiro Sueda, and Pulkit Agrawal · 2021
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Physics-informed machine learning
George Em Karniadakis, Ioannis G Kevrekidis, Lu Lu, Paris Perdikaris, Sifan Wang, and Liu Yang · 2021
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DiffPD: Differentiable projective dynamics
Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, and Wojciech Matusik · 2021
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Differentiable simulation of soft multi-body systems
Yiling Qiao, Junbang Liang, Vladlen Koltun, and Ming Lin · 2021
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Isaac Gym: High performance GPU-based physics simulation for robot learning
Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, and Gavriel State · 2021
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Real food dataset, 2021
Prajjwal Jamdagni and Yan-Bin Jia · 2021
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Challenges and outlook in robotic manipulation of deformable objects
Jihong Zhu, Andrea Cherubini, Claire Dune, David Navarro-Alarcon, Farshid Alambeigi, Dmitry Berenson, Fanny Ficuciello, Kensuke Harada, Jens Kober, Xiang Li, Jia Pan, Wenzhen Yuan, and Michael Gienger · 2022
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DefGraspSim: Physics-based simulation of grasp outcomes for 3D deformable objects
Isabella Huang, Yashraj Narang, Clemens Eppner, Balakumar Sundaralingam, Miles Macklin, Ruzena Bajcsy, Tucker Hermans, and Dieter Fox · 2022
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DiSECt: A differentiable simulator for parameter inference and control in robotic cutting
Eric Heiden, Miles Macklin, Yashraj Narang, Dieter Fox, Animesh Garg, and Fabio Ramos · 2022
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Accelerated policy learning with parallel differentiable simulation
Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fabio Ramos, Wojciech Matusik, Animesh Garg, and Miles Macklin · 2022
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Deep learning approaches to grasp synthesis: A review, 2022
Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, and Akansel Cosgun · 2022
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Dynamic evaluation of deformable object grasping
Peng Song, Juan Antonio Corrales Ramón, and Youcef Mezouar · 2022
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Grasp pose detection for deformable daily items by pix2stiffness estimation
Koshi Makihara, Yukiyasu Domae, Ixchel G. Ramirez-Alpizar, Toshio Ueshiba, and Kensuke Harada · 2022
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RoboCraft: Learning to see, simulate, and shape elasto-plastic objects with graph networks
Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, and Jiajun Wu · 2022
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Warp: A high-performance Python framework for GPU simulation and graphics
Miles Macklin · 2022
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A novel simulation-based quality metric for evaluating grasps on 3D deformable objects
Tran Nguyen Le, Jens Lundell, Fares J. Abu-Dakka, and Ville Kyrki · 2023
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3d models for professionals
TurboSquid · 2023
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