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A critical bottleneck limiting imitation learning in robotics is the lack of data.
Teleoperations and robotics: evolution and development
Jean Vertut and Philippe Coiffet · 1986
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IEEE Journal on Robotics and Automation , 3(1):43–53, 1987
A unified approach for motion and force control of robot manipulators: The operational space formulation · 1987
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Is imitation learning the route to humanoid robots?
Stefan Schaal · 1999
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International Journal of Humanoid Robotics , 1(01):29–43, 2004
Whole-body dynamic behavior and control of human-like robots · 2004
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Real-time whole-body imitation by humanoid robots and task-oriented teleoperation using an analytical mapping method and quantitative evaluation
Zhijun Zhang, Yaru Niu, Ziyi Yan, and Shuyang Lin · 2005
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Springer handbook of robotics , volume 200
Bruno Siciliano, Oussama Khatib, and Torsten Kröger · 2008
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A survey of robot learning from demonstration
Brenna D Argall, Sonia Chernova, Manuela Veloso, and Brett Browning · 2009
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A versatile generalized inverted kinematics implementation for collaborative working humanoid robots: The stack of tasks
Nicolas Mansard, Olivier Stasse, Paul Evrard, and Abderrahmane Kheddar · 2009
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Development of a six dof haptic master for teleoperation of a mobile manipulator
Dongseok Ryu, Jae-Bok Song, Changhyun Cho, Sungchul Kang, and Munsang Kim · 2010
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Marionet: Motion acquisition for robots through iterative online evaluative training
Adam Setapen, Michael Quinlan, and Peter Stone · 2010
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Teleoperation of a humanoid robot using full-body motion capture, example movements, and machine learning
Christopher Stanton, Anton Bogdanovych, and Edward Ratanasena · 2012
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Development of human-machine interface for teleoperation of a mobile manipulator
Baocheng Wang, Zhijun Li, Wenjun Ye, and Qing Xie · 2012
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Reinforcement learning in robotics: A survey
Jens Kober, J. Andrew Bagnell, and Jan Peters · 2013
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First-person tele-operation of a humanoid robot
Lars Fritsche, Felix Unverzag, Jan Peters, and Roberto Calandra · 2015
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A web-based infrastructure for recording user demonstrations of mobile manipulation tasks
Ellis Ratner, Benjamin Cohen, Mike Phillips, and Maxim Likhachev · 2015
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Tiago: the modular robot that adapts to different research needs
Jordi Pages, Luca Marchionni, and Francesco Ferro · 2016
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Fetch and freight: Standard platforms for service robot applications
Melonee Wise, Michael Ferguson, Derek King, Eric Diehr, and David Dymesich · 2016
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Baxter’s homunculus: Virtual reality spaces for teleoperation in manufacturing
Jeffrey I Lipton, Aidan J Fay, and Daniela Rus · 2017
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The robotrix: An extremely photorealistic and very-large-scale indoor dataset of sequences with robot trajectories and interactions
Alberto Garcia-Garcia, Pablo Martinez-Gonzalez, Sergiu Oprea, John Alejandro Castro-Vargas, Sergio Orts-Escolano, Jose Garcia-Rodriguez, and Alvaro Jover-Alvarez · 2018
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Roboturk: A crowdsourcing platform for robotic skill learning through imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, et al · 2018
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Vision-based multi-task manipulation for inexpensive robots using end-to-end learning from demonstration
Rouhollah Rahmatizadeh, Pooya Abolghasemi, Ladislau Bölöni, and Sergey Levine · 2018
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Ros reality: A virtual reality framework using consumer-grade hardware for ros-enabled robots
David Whitney, Eric Rosen, Daniel Ullman, Elizabeth Phillips, and Stefanie Tellex · 2018
Cited alongside, same era.
Deep imitation learning for complex manipulation tasks from virtual reality teleoperation
Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, and Pieter Abbeel · 2018
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Vrkitchen: an interactive 3d virtual environment for task-oriented learning
Xiaofeng Gao, Ran Gong, Tianmin Shu, Xu Xie, Shu Wang, and Song-Chun Zhu · 2019
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Mediapipe: A framework for perceiving and processing reality
Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming Yong, Juhyun Lee, et al · 2019
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Scaling robot supervision to hundreds of hours with roboturk: Robotic manipulation dataset through human reasoning and dexterity
Ajay Mandlekar, Jonathan Booher, Max Spero, Albert Tung, Anchit Gupta, Yuke Zhu, Animesh Garg, Silvio Savarese, and Li Fei-Fei · 2019
Q-transformer: Scalable offline reinforcement learning via autoregressive q-functions
Yevgen Chebotar, Quan Vuong, Karol Hausman, Fei Xia, Yao Lu, Alex Irpan, Aviral Kumar, Tianhe Yu, Alexander Herzog, Karl Pertsch, et al · 2023
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Palm-e: An embodied multimodal language model
Danny Driess, Fei Xia, Mehdi SM Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, et al · 2023
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Low-cost exoskeletons for learning whole-arm manipulation in the wild
Hongjie Fang, Hao-Shu Fang, Yiming Wang, Jieji Ren, Jingjing Chen, Ruo Zhang, Weiming Wang, and Cewu Lu · 2023
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Foundation models in robotics: Applications, challenges, and the future
Roya Firoozi, Johnathan Tucker, Stephen Tian, Anirudha Majumdar, Jiankai Sun, Weiyu Liu, Yuke Zhu, Shuran Song, Ashish Kapoor, Karol Hausman, et al · 2023
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Cited alongside, same era.
Development of human support robot as the research platform of a domestic mobile manipulator
Takashi Yamamoto, Koji Terada, Akiyoshi Ochiai, Fuminori Saito, Yoshiaki Asahara, and Kazuto Murase · 2019
Cited alongside, same era.
Helping robots learn: a human-robot master-apprentice model using demonstrations via virtual reality teleoperation
Joseph DelPreto, Jeffrey I Lipton, Lindsay Sanneman, Aidan J Fay, Christopher Fourie, Changhyun Choi, and Daniela Rus · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Learning motion parameterizations of mobile pick and place actions from observing humans in virtual environments
Gayane Kazhoyan, Alina Hawkin, Sebastian Koralewski, Andrei Haidu, and Michael Beetz · 2020
Cited alongside, same era.
Unrealrox: an extremely photorealistic virtual reality environment for robotics simulations and synthetic data generation
Pablo Martinez-Gonzalez, Sergiu Oprea, Alberto Garcia-Garcia, Alvaro Jover-Alvarez, Sergio Orts-Escolano, and Jose Garcia-Rodriguez · 2020
Cited alongside, same era.
Recent advances in robot learning from demonstration
Harish Ravichandar, Athanasios S Polydoros, Sonia Chernova, and Aude Billard · 2020
Cited alongside, same era.
Human to robot whole-body motion transfer
Miguel Arduengo, Ana Arduengo, Adrià Colomé, Joan Lobo-Prat, and Carme Torras · 2021
Cited alongside, same era.
Virtual reality teleoperation system for mobile robot manipulation
Bryan R Galarza, Paulina Ayala, Santiago Manzano, and Marcelo V Garcia · 2023
Later among the works it cites.
Fleet-dagger: Interactive robot fleet learning with scalable human supervision
Ryan Hoque, Lawrence Yunliang Chen, Satvik Sharma, Karthik Dharmarajan, Brijen Thananjeyan, Pieter Abbeel, and Ken Goldberg · 2023
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Bimanual telemanipulation with force and haptic feedback through an anthropomorphic avatar system
Christian Lenz and Sven Behnke · 2023
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Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation
Chengshu Li, Ruohan Zhang, Josiah Wong, Cem Gokmen, Sanjana Srivastava, Roberto Martín-Martín, Chen Wang, Gabrael Levine, Michael Lingelbach, Jiankai Sun, et al · 2023
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Development of a whole-body work imitation learning system by a biped and bi-armed humanoid
Yutaro Matsuura, Kento Kawaharazuka, Naoki Hiraoka, Kunio Kojima, Kei Okada, and Masayuki Inaba · 2023
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Dynamic mobile manipulation via whole-body bilateral teleoperation of a wheeled humanoid
Amartya Purushottam, Christopher Xu, Yeongtae Jung, and Joao Ramos · 2023
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Anyteleop: A general vision-based dexterous robot arm-hand teleoperation system
Yuzhe Qin, Wei Yang, Binghao Huang, Karl Van Wyk, Hao Su, Xiaolong Wang, Yu-Wei Chao, and Dieter Fox · 2023
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Robust immersive telepresence and mobile telemanipulation: Nimbro wins ana avatar xprize finals
Max Schwarz, Christian Lenz, Raphael Memmesheimer, Bastian Pätzold, Andre Rochow, Michael Schreiber, and Sven Behnke · 2023
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Deep imitation learning for humanoid loco-manipulation through human teleoperation
Mingyo Seo, Steve Han, Kyutae Sim, Seung Hyeon Bang, Carlos Gonzalez, Luis Sentis, and Yuke Zhu · 2023
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Octo: An open-source generalist robot policy, 2023
Octo Model Team, Dibya Ghosh, Homer Walke, Karl Pertsch, Kevin Black, Oier Mees, Sudeep Dasari, Joey Hejna, Charles Xu, Jianlan Luo, et al · 2023
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Bridgedata v2: A dataset for robot learning at scale
Homer Walke, Kevin Black, Abraham Lee, Moo Jin Kim, Max Du, Chongyi Zheng, Tony Zhao, Philippe Hansen-Estruch, Quan Vuong, Andre He, Vivek Myers, Kuan Fang, Chelsea Finn, and Sergey Levine · 2023
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Gello: A general, low-cost, and intuitive teleoperation framework for robot manipulators
Philipp Wu, Yide Shentu, Zhongke Yi, Xingyu Lin, and Pieter Abbeel · 2023
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Moma-force: Visual-force imitation for real-world mobile manipulation
Taozheng Yang, Ya Jing, Hongtao Wu, Jiafeng Xu, Kuankuan Sima, Guangzeng Chen, Qie Sima, and Tao Kong · 2023
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Learning fine-grained bimanual manipulation with low-cost hardware
Tony Z Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn · 2023
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Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation
Zipeng Fu, Tony Z Zhao, and Chelsea Finn · 2024
Closest in time.
Mixed reality teleoperation assistance for direct control of humanoids
Luigi Penco, Kazuhiko Momose, Stephen McCrory, Dexton Anderson, Nicholas Kitchel, Duncan Calvert, and Robert J Griffin · 2024
Closest in time.