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Dexterity is often seen as a cornerstone of complex manipulation.
Dynamic manipulability of robot manipulators
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Designing the robot behavior for safe human robot interactions
C. Liu and M. Tomizuka · 2017
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Gelsight: High-resolution robot tactile sensors for estimating geometry and force
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Scaling egocentric vision: The epic-kitchens dataset
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Deepmimic: Example-guided deep reinforcement learning of physics-based character skills
X. B. Peng, P. Abbeel, S. Levine, and M. Van de Panne · 2018
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T. Nagarajan, C. Feichtenhofer, and K. Grauman · 2019
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Y. J. Ma, S. Sodhani, D. Jayaraman, O. Bastani, V. Kumar, and A. Zhang · 2022
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R3m: A universal visual representation for robot manipulation
S. Nair, A. Rajeswaran, V. Kumar, C. Finn, and A. Gupta · 2022
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Robotic telekinesis: learning a robotic hand imitator by watching humans on youtube
A. Sivakumar, K. Shaw, and D. Pathak · 2022
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Qin, yuzhe and su, hao and wang, xiaolong, 2022
F. O. H. to Multiple Hands: Imitation Learning for Dexterous Manipulation from Single-Camera Teleoperation · 2022
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Videodex: Learning dexterity from internet videos
K. Shaw, S. Bahl, and D. Pathak · 2022
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Dexvip: Learning dexterous grasping with human hand pose priors from video
P. Mandikal and K. Grauman · 2022
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Visual dexterity: In-hand dexterous manipulation from depth
T. Chen, M. Tippur, S. Wu, V. Kumar, E. Adelson, and P. Agrawal · 2022
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Rapid locomotion via reinforcement learning
G. B. Margolis, G. Yang, K. Paigwar, T. Chen, and P. Agrawal · 2022
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Detecting twenty-thousand classes using image-level supervision
X. Zhou, R. Girdhar, A. Joulin, P. Krähenbühl, and I. Misra · 2022
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R3m: A universal visual representation for robot manipulation
S. Nair, A. Rajeswaran, V. Kumar, C. Finn, and A. Gupta · 2022
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Human-to-robot imitation in the wild
S. Bahl, A. Gupta, and D. Pathak · 2022
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A framework for designing anthropomorphic soft hands through interaction, 2023
P. Mannam, K. Shaw, D. Bauer, J. Oh, D. Pathak, and N. Pollard · 2023
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Affordances from human videos as a versatile representation for robotics
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Alan: Autonomously exploring robotic agents in the real world
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Legged locomotion in challenging terrains using egocentric vision
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