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Real-world manipulation data involving robotic arms is crucial for developing generalist action policies, yet such data remains scarce since existing data collection methods are hindered by high costs, hardware dependencies, and complex setup requirements.
Scaling data-driven robotics with reward sketching and batch reinforcement learning, 2020
Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerik, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, and Ziyu Wang · 1909
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Pddl— the planning domain definition language
Constructions Aeronautiques, Adele Howe, Craig Knoblock, ISI Drew McDermott, Ashwin Ram, Manuela Veloso, Daniel Weld, David Wilkins Sri, Anthony Barrett, Dave Christianson, et al · 1998
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Is imitation learning the route to humanoid robots?
Stefan Schaal · 1999
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Active reward learning
Christian Daniel, Malte Viering, Jan Metz, Oliver Kroemer, and Jan Peters · 2014
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Automatic generation and detection of highly reliable fiducial markers under occlusion
S. Garrido-Jurado, R. Muñoz-Salinas, F.J. Madrid-Cuevas, and M.J. Marín-Jiménez · 2014
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Robot Learning Manipulation Action Plans by ”Watching” Unconstrained Videos from the World Wide Web
Yezhou Yang, Yi Li, Cornelia Fermuller, and Yiannis Aloimonos · 2015
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Sergey Levine, Peter Pastor, Alex Krizhevsky, and Deirdre Quillen · 2016
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Deep reinforcement learning: A brief survey
Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, and Anil Anthony Bharath · 2017
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Gate-variants of gated recurrent unit (gru) neural networks
Rahul Dey and Fathi M Salem · 2017
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evo: Python package for the evaluation of odometry and slam
Michael Grupp · 2017
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Imitation learning: A survey of learning methods
Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan, and Chrisina Jayne · 2017
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Scalable deep reinforcement learning for vision-based robotic manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, et al · 2018
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Deep imitation learning for complex manipulation tasks from virtual reality teleoperation, 2018
Tianhao Zhang, Zoe McCarthy, Owen Jow, Dennis Lee, Xi Chen, Ken Goldberg, and Pieter Abbeel · 2018
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Survey of imitation learning for robotic manipulation
Bin Fang, Shidong Jia, Di Guo, Muhua Xu, Shuhuan Wen, and Fuchun Sun · 2019
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Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video
Oier Mees, Markus Merklinger, Gabriel Kalweit, and Wolfram Burgard · 2020
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Faster Confined Space Manufacturing Teleoperation Through Dynamic Autonomy With Task Dynamics Imitation Learning
Parker Owan, Joseph Garbini, and Santosh Devasia · 2020
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Grasping in the Wild: Learning 6DoF Closed-Loop Grasping From Low-Cost Demonstrations
Shuran Song, Andy Zeng, Johnny Lee, and Thomas Funkhouser · 2020
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Language-conditioned imitation learning for robot manipulation tasks
Simon Stepputtis, Joseph Campbell, Mariano Phielipp, Stefan Lee, Chitta Baral, and Heni Ben Amor · 2020
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Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam
Carlos Campos, Richard Elvira, Juan J Gómez Rodríguez, José MM Montiel, and Juan D Tardós · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Human-to-robot imitation in the wild, 2022
Shikhar Bahl, Abhinav Gupta, and Deepak Pathak · 2022
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Rt-1: Robotics transformer for real-world control at scale
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alex Herzog, Jasmine Hsu, et al · 2022
Bunny-VisionPro: Real-Time Bimanual Dexterous Teleoperation for Imitation Learning, July 2024
Runyu Ding, Yuzhe Qin, Jiyue Zhu, Chengzhe Jia, Shiqi Yang, Ruihan Yang, Xiaojuan Qi, and Xiaolong Wang · 2024
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Chrisantus Eze and Christopher Crick · 2024
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Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot
Hao-Shu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Chenxi Wang, Junbo Wang, Haoyi Zhu, and Cewu Lu · 2024
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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
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3d diffuser actor: Policy diffusion with 3d scene representations
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Data Quality in Imitation Learning
Suneel Belkhale, Yuchen Cui, and Dorsa Sadigh · 2023
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Diffusion policy: Visuomotor policy learning via action diffusion
Cheng Chi, Zhenjia Xu, Siyuan Feng, Eric Cousineau, Yilun Du, Benjamin Burchfiel, Russ Tedrake, and Shuran Song · 2023
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On hand-held grippers and the morphological gap in human manipulation demonstration
Kiran Doshi, Yijiang Huang, and Stelian Coros · 2023
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Digital twin-driven mixed reality framework for immersive teleoperation with haptic rendering
Wen Fan, Xiaoqing Guo, Enyang Feng, Jialin Lin, Yuanyi Wang, Jiaming Liang, Martin Garrad, Jonathan Rossiter, Zhengyou Zhang, Nathan Lepora, Lei Wei, and Dandan Zhang · 2023
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Scalable. intuitive human to robot skill transfer with wearable human machine interfaces: On complex, dexterous tasks
Felipe Sanches, Geng Gao, Nathan Elangovan, Ricardo V Godoy, Jayden Chapman, Ke Wang, Patrick Jarvis, and Minas Liarokapis · 2023
Cited alongside, same era.
RoboCLIP: One Demonstration is Enough to Learn Robot Policies
Sumedh Sontakke, Jesse Zhang, Séb Arnold, Karl Pertsch, Erdem Bı yı k, Dorsa Sadigh, Chelsea Finn, and Laurent Itti · 2023
Cited alongside, same era.
Bridgedata v2: A dataset for robot learning at scale
Homer Rich Walke, Kevin Black, Tony Z Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, et al · 2023
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Tsung-Wei Ke, Nikolaos Gkanatsios, and Katerina Fragkiadaki · 2024
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Droid: A large-scale in-the-wild robot manipulation dataset
Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, et al · 2024
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Robot learning on the job: Human-in-the-loop autonomy and learning during deployment
Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, and Yuke Zhu · 2024
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Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0
Abby O’Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, et al · 2024
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DexHub and DART: Towards Internet Scale Robot Data Collection, November 2024
Younghyo Park, Jagdeep Singh Bhatia, Lars Ankile, and Pulkit Agrawal · 2024
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Yell at your robot: Improving on-the-fly from language corrections
Lucy Xiaoyang Shi, Zheyuan Hu, Tony Z Zhao, Archit Sharma, Karl Pertsch, Jianlan Luo, Sergey Levine, and Chelsea Finn · 2024
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Dexcap: Scalable and portable mocap data collection system for dexterous manipulation
Chen Wang, Haochen Shi, Weizhuo Wang, Ruohan Zhang, Li Fei-Fei, and C Karen Liu · 2024
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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 · 2024
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Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, and Hengshuang Zhao · 2024
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A survey of imitation learning: Algorithms, recent developments, and challenges
Maryam Zare, Parham M Kebria, Abbas Khosravi, and Saeid Nahavandi · 2024
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Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, and Huazhe Xu · 2024
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Hubotverse: Toward internet of human and intelligent robotic things with a digital twin-based mixed reality framework
Dandan Zhang, Ziniu Wu, Jin Zheng, Yifan Li, Zheng Dong, and Jialin Lin · 2024
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Zhaxizhuoma, Pengan Chen, Ziniu Wu, Jiawei Sun, Dong Wang, Peng Zhou, Nieqing Cao, Yan Ding, Bin Zhao, and Xuelong Li · 2024
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