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Dexterous manipulation through imitation learning has gained significant attention in robotics research.
Introduction to robotics
A J Critchlow · 1985
Earlier work this paper cites.
An overview of dexterous manipulation
A.M. Okamura, N. Smaby, and M.R. Cutkosky · 2000
Earlier work this paper cites.
Position control of dc motor using genetic algorithm based pid controller
Neenu Thomas and Dr P Poongodi · 2009
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
Earlier work this paper cites.
Teleoperation for learning by demonstration: Data glove versus object manipulation for intuitive robot control
Kamil Kukliński, Kerstin Fischer, Ilka Marhenke, Franziska Kirstein, Maria V. aus der Wieschen, Dorthe Sølvason, Norbert Krüger, and Thiusius Rajeeth Savarimuthu · 2014
Earlier work this paper cites.
Design of a highly biomimetic anthropomorphic robotic hand towards artificial limb regeneration
Zhe Xu and Emanuel Todorov · 2016
Earlier work this paper cites.
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
Earlier work this paper cites.
Dexterous manipulation with deep reinforcement learning: Efficient, general, and low-cost
Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, Sergey Levine, and Vikash Kumar · 2019
Earlier work this paper cites.
On the choice of grasp type and location when handing over an object
F. Cini, V. Ortenzi, P. Corke, and M. Controzzi · 2019
Cited alongside, same era.
Fluid lubricated dexterous finger mechanism for human-like impact absorbing capability
Yong-Jae Kim, Junsuk Yoon, and Young-Woo Sim · 2019
Cited alongside, same era.
Learning dexterous in-hand manipulation
OpenAI: Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Józefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, Jonas Schneider, Szymon Sidor, Josh Tobin, Peter Welinder, Lilian Weng, and Wojciech Zaremba · 2020
Cited alongside, same era.
Grasping in the wild: Learning 6dof closed-loop grasping from low-cost demonstrations
Shuran Song, Andy Zeng, Johnny Lee, and Thomas Funkhouser · 2020
Cited alongside, same era.
A mobile robot hand-arm teleoperation system by vision and imu
Shuang Li, Jiaxi Jiang, Philipp Ruppel, Hongzhuo Liang, Xiaojian Ma, Norman Hendrich, Fuchun Sun, and Jianwei Zhang · 2020
Cited alongside, same era.
Integrated linkage-driven dexterous anthropomorphic robotic hand
Uikyum Kim, Dawoon Jung, Heeyoen Jeong, Jongwoo Park, Hyun-Mok Jung, Joono Cheong, Hyouk Choi, Hyunmin Do, and Chanhun Park · 2021
Later among the works it cites.
Towards human-level bimanual dexterous manipulation with reinforcement learning
Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, and Yaodong Yang · 2022
Later among the works it cites.
Imitation learning: Progress, taxonomies and challenges
Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor W. Tsang, and Fang Chen · 2022
Later among the works it cites.
Robotic telekinesis: Learning a robotic hand imitator by watching humans on youtube
Aravind Sivakumar, Kenneth Shaw, and Deepak Pathak · 2022
Later among the works it cites.
Dexvip: Learning dexterous grasping with human hand pose priors from video
Priyanka Mandikal and Kristen Grauman · 2022
Later among the works it cites.
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Chengshu Li, Fei Xia, Roberto Martín-Martín, Michael Lingelbach, Sanjana Srivastava, Bokui Shen, Kent Vainio, Cem Gokmen, Gokul Dharan, Tanish Jain, et al · 2021
Cited alongside, same era.
Joint modeling and closed-loop control of a robotic hand driven by the tendon-sheath
Meng Yin, Dongyang Shang, Tiantian Xu, and Xinyu Wu · 2021
Cited alongside, same era.
Dexterous imitation made easy: A learning-based framework for efficient dexterous manipulation
Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, and Lerrel Pinto · 2023
Closest in time.
Immersive demonstrations are the key to imitation learning, 2023
Kelin Li, Digby Chappell, and Nicolas Rojas · 2023
Closest in time.