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We build a system that enables any human to control a robot hand and arm, simply by demonstrating motions with their own hand.
Robot technology. vol. 3a. teleoperation and robotics: evolution and development
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Learning complex dexterous manipulation with deep reinforcement learning and demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, and Sergey Levine · 2017
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Embodied hands: Modeling and capturing hands and bodies together
Javier Romero, Dimitrios Tzionas, and Michael J. Black · 2017
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Dafni Antotsiou, Guillermo Garcia-Hernando, and Tae-Kyun Kim · 2018
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Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, and Michael Wray · 2018
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Ruben Villegas, Jimei Yang, Duygu Ceylan, and Honglak Lee · 2018
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Dexpilot: Vision-based teleoperation of dexterous robotic hand-arm system
Ankur Handa, Karl Van Wyk, Wei Yang, Jacky Liang, Yu-Wei Chao, Qian Wan, Stan Birchfield, Nathan Ratliff, and Dieter Fox · 2020
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Learning agile robotic locomotion skills by imitating animals
Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Lee, Jie Tan, and Sergey Levine · 2020
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State-only imitation learning for dexterous manipulation
Ilija Radosavovic, Xiaolong Wang, Lerrel Pinto, and Jitendra Malik · 2020
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Understanding human hands in contact at internet scale
Dandan Shan, Jiaqi Geng, Michelle Shu, and David Fouhey · 2020
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Learning joint reconstruction of hands and manipulated objects
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