On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward
HeeSun Choi, Cindy Crump, Christian Duriez, Asher Elmquist, Gregory Hager, David Han, Frank Hearl, Jessica Hodgins, Abhinandan Jain, Frederick Leve, Chen Li, Franziska Meier, Dan Negrut, Ludovic Righetti, Alberto Rodriguez, Jie Tan, and Jeff Trinkle · 2021
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Assistive Tele-op: Leveraging transformers to collect robotic task demonstrations
Original
Henry M. Clever, Ankur Handa, Hammad Mazhar, Kevin Parker, Omer Shapira, Qian Wan, Yashraj Narang, Iretiayo Akinola, Maya Cakmak, and Dieter Fox · 2021
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Residual learning from demonstration: Adapting DMPs for contact-rich manipulation
Original
Todor Davchev, Kevin Sebastian Luck, Michael Burke, Franziska Meier, Stefan Schaal, and Subramanian Ramamoorthy · 2021
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ManipulaTHOR: A framework for visual object manipulation
Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha Kembhavi, and Roozbeh Mottaghi · 2021
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ACRONYM: A large-scale grasp dataset based on simulation
Clemens Eppner, Arsalan Mousavian, and Dieter Fox · 2021
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Intersection-free rigid body dynamics
Zachary Ferguson, Minchen Li, Teseo Schneider, Francisca Gil-Ureta, Timothy Langlois, Chenfanfu Jiang, Denis Zorin, Danny M Kaufman, and Daniele Panozzo · 2021
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FlingBot: The unreasonable effectiveness of dynamic manipulation for cloth unfolding
Huy Ha and Shuran Song · 2021
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Towards real-world force-sensitive robotic assembly through deep reinforcement learning in simulations
Marius Hebecker, Jens Lambrecht, and Markus Schmitz · 2021
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Data-efficient hierarchical reinforcement learning for robotic assembly control applications
Zhimin Hou, Jiajun Fei, Yuelin Deng, and Jing Xu · 2021
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Trajectory optimization for manipulation of deformable objects: Assembly of belt drive units
Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, and Masayoshi Tomizuka · 2021
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Stability-guaranteed reinforcement learning for contact-rich manipulation
Shahbaz Abdul Khader, Hang Yin, Pietro Falco, and Danica Kragic · 2021
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iGibson 2.0: Object-centric simulation for robot learning of everyday household tasks
Original
Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, Andrey Kurenkov, C. Karen Liu, Hyowon Gweon, Jiajun Wu, Li Fei-Fei, and Silvio Savarese · 2021
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Benchmarking off-the-shelf solutions to robotic assembly tasks
Original
Wenzhao Lian, Tim Kelch, Dirk Holz, Adam Norton, and Stefan Schaal · 2021
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The role of physics-based simulators in robotics
C. Karen Liu and Dan Negrut · 2021
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Robust multi-modal policies for industrial assembly via reinforcement learning and demonstrations: A large-scale study
Original
Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerik, Ning Ye, Stefan Schaal, and Jon Scholz · 2021
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A learning approach to robot-agnostic force-guided high precision assembly
Original
Jieliang Luo and Hui Li · 2021
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rl-games, 2021
Denys Makoviichuk and Viktor Makoviychuk · 2021
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Isaac Gym: High performance GPU-based physics simulation for robot learning
Original
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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Sim-to-real for robotic tactile sensing via physics-based simulation and learned latent projections
Yashraj Narang, Balakumar Sundaralingam, Miles Macklin, Arsalan Mousavian, and Dieter Fox · 2021
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Learning to walk in minutes using massively parallel deep reinforcement learning
Nikita Rudin, David Hoeller, Philipp Reist, and Marco Hutter · 2021
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Taxim: An example-based simulation model for GelSight tactile sensors
Original
Zilin Si and Wenzhen Yuan · 2021
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Habitat 2.0: Training home assistants to rearrange their habitat
Andrew Szot, Alex Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, and Dhruv Batra · 2021
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Learning sequences of manipulation primitives for robotic assembly
Nghia Vuong, Hung Pham, and Quang-Cuong Pham · 2021
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OSCAR: Data-driven operational space control for adaptive and robust robot manipulation
Original
Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, and Yuke Zhu · 2021
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Learning dense rewards for contact-rich manipulation tasks
Zheng Wu, Wenzhao Lian, Vaibhav Unhelkar, Masayoshi Tomizuka, and Stefan Schaal · 2021
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RoboAssembly: Learning generalizable furniture assembly policy in a novel multi-robot contact-rich simulation environment
Original
Mingxin Yu, Lin Shao, Zhehuan Chen, Tianhao Wu, Qingnan Fan, Kaichun Mo, and Hao Dong · 2021
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Interpreting contact interactions to overcome failure in robot assembly tasks
Peter A. Zachares, Michelle A. Lee, Wenzhao Lian, and Jeannette Bohg · 2021
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Learning insertion primitives with discrete-continuous hybrid action space for robotic assembly tasks
Original
Xiang Zhang, Shiyu Jin, Changhao Wang, Xinghao Zhu, and Masayoshi Tomizuka · 2021
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Assembly Magazine
BNP Media · 2022
Closest in time.
https://twitter.com/kennethbodin/status/1252973291217850368 , 2021
Kenneth Bodin · 2022
Closest in time.
Bullet real-time physics simulation
Erwin Coumans · 2022
Closest in time.
DefGraspSim: Physics-based simulation of grasp outcomes for 3D deformable objects
Isabella Huang, Yashraj Narang, Clemens Eppner, Balakumar Sundaralingam, Miles Macklin, Tucker Hermans, and Dieter Fox · 2022
Closest in time.
Fast & reliable micro screw fastening
KUKA · 2022
Closest in time.
NVIDIA Omniverse Platform
NVIDIA · 2022
Closest in time.
NVIDIA PhysX SDK
NVIDIA · 2022
Closest in time.