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Recent progress in imitation learning from human demonstrations has shown promising results in teaching robots manipulation skills.
“Is imitation learning the route to humanoid robots?”
Stefan Schaal · 1999
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“Movement imitation with nonlinear dynamical systems in humanoid robots”
A.J. Ijspeert, J. Nakanishi and S. Schaal · 2002
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“Dynamic movement primitives-a framework for motor control in humans and humanoid robotics”
Stefan Schaal · 2006
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“Robot programming by demonstration”
Aude Billard, Sylvain Calinon, Ruediger Dillmann and Stefan Schaal · 2008
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“A survey of robot learning from demonstration”
Brenna Argall, Sonia Chernova, Manuela Veloso and Brett Browning · 2009
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“Learning motor primitives for robotics”
Jens Kober and Jan Peters · 2009
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“Learning and reproduction of gestures by imitation”
Sylvain Calinon et al · 2010
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“Imitation and reinforcement learning”
Jens Kober and Jan Peters · 2010
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“Probabilistic Movement Primitives”
Alexandros Paraschos, Christian Daniel, Jan Peters and Gerhard Neumann · 2013
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“Bullet physics simulation”
Erwin Coumans · 2015
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“One-shot visual imitation learning via meta-learning”
Chelsea Finn et al · 2017
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“Learning manipulation skills from a single demonstration”
Peter Englert and Marc Toussaint · 2018
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“Using probabilistic movement primitives in robotics”
Alexandros Paraschos, Christian Daniel, Jan Peters and Gerhard Neumann · 2018
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“Deep imitation learning for complex manipulation tasks from virtual reality teleoperation”
Tianhao Zhang et al · 2018
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“Self-supervised correspondence in visuomotor policy learning”
Peter Florence, Lucas Manuelli and Russ Tedrake · 2019
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“Scaling robot supervision to hundreds of hours with roboturk: Robotic manipulation dataset through human reasoning and dexterity”
Ajay Mandlekar et al · 2019
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“Telemanipulation with chopsticks: Analyzing human factors in user demonstrations”
Liyiming Ke et al · 2020
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“What Matters in Learning from Offline Human Demonstrations for Robot Manipulation”
Ajay Mandlekar et al · 2021
Cited alongside, same era.
“What matters in learning from offline human demonstrations for robot manipulation”
Ajay Mandlekar et al · 2021
Cited alongside, same era.
“Generalization through hand-eye coordination: An action space for learning spatially-invariant visuomotor control”
Chen Wang et al · 2021
Cited alongside, same era.
“Rt-1: Robotics transformer for real-world control at scale”
Anthony Brohan et al · 2022
Cited alongside, same era.
“VideoDex: Learning Dexterity from Internet Videos”
Kenneth Shaw, Shikhar Bahl and Deepak Pathak · 2022
Cited alongside, same era.
“Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots”
Cheng Chi et al · 2024
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“Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots”
Cheng Chi et al · 2024
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“Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning”
Runyu Ding et al · 2024
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“Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation”
Zipeng Fu, Tony Zhao and Chelsea Finn · 2024
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“Efficient Data Collection for Robotic Manipulation via Compositional Generalization”
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Yifeng Zhu, Abhishek Joshi, Peter Stone and Yuke Zhu · 2022
Cited alongside, same era.
“AR2-D2: Training a Robot Without a Robot”
Jiafei Duan et al · 2023
Cited alongside, same era.
“Low-cost exoskeletons for learning whole-arm manipulation in the wild”
Hongjie Fang et al · 2023
Cited alongside, same era.
“Stabilize to Act: Learning to Coordinate for Bimanual Manipulation”
Jennifer Grannen, Yilin Wu, Brandon Vu and Dorsa Sadigh · 2023
Cited alongside, same era.
“Anyteleop: A general vision-based dexterous robot arm-hand teleoperation system”
Yuzhe Qin et al · 2023
Cited alongside, same era.
Nur Shafiullah et al · 2023
Cited alongside, same era.
“Gello: A general, low-cost, and intuitive teleoperation framework for robot manipulators”
Philipp Wu et al · 2023
Cited alongside, same era.
Jensen Gao et al · 2024
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“Puppeteer Your Robot: Augmented Reality Leader-Follower Teleoperation”
Jonne van Haastregt, Michael Welle, Yuchong Zhang and Danica Kragic · 2024
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“OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning”
Tairan He et al · 2024
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“Droid: A large-scale in-the-wild robot manipulation dataset”
Alexander Khazatsky et al · 2024
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“Learning Visuotactile Skills with Two Multifingered Hands”
Toru Lin et al · 2024
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“Consistency policy: Accelerated visuomotor policies via consistency distillation”
Aaditya Prasad et al · 2024
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“Bimanual Dexterity for Complex Tasks”
Kenneth Shaw et al · 2024
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“Dexcap: Scalable and portable mocap data collection system for dexterous manipulation”
Chen Wang et al · 2024
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“EVE: Enabling Anyone to Train Robot using Augmented Reality”
Jun Wang et al · 2024
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“ACE: A Cross-Platform Visual-Exoskeletons System for Low-Cost Dexterous Teleoperation”
Shiqi Yang et al · 2024
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Yanjie Ze et al · 2024
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“ALOHA Unleashed: A Simple Recipe for Robot Dexterity”
Tony Zhao et al · 2024
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