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Compliance plays a crucial role in manipulation, as it balances between the concurrent control of position and force under uncertainties.
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Yifan Hou and Matthew Mason · 1939
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Matthew Mason · 1981
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“Hybrid position/force control of manipulators”, 1981
Marc Raibert and John Craig · 1981
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Neville Hogan · 1984
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Tomas Lozano-Perez, Matthew Mason and Russell Taylor · 1984
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J Maples and Joseph Becker · 1986
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“A unified approach for motion and force control of robot manipulators: The operational space formulation”
Oussama Khatib · 1987
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“A symmetric hybrid position/force control scheme for the coordination of two robots”
Masaru Uchiyama and Pierre Dauchez · 1988
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Naoyuki Sawasaki and Hirochika INOUE · 1991
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Sylvain Calinon, Irene Sardellitti and Darwin Caldwell · 2010
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“A non-invasive, real-time method for measuring variable stiffness”, 2011
Giorgio Grioli and Antonio Bicchi · 2011
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“Learning force control policies for compliant manipulation”
Mrinal Kalakrishnan, Ludovic Righetti, Peter Pastor and Stefan Schaal · 2011
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“Online learning of varying stiffness through physical human-robot interaction”
Klas Kronander and Aude Billard · 2012
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“Learning compliant manipulation through kinesthetic and tactile human-robot interaction”
Klas Kronander and Aude Billard · 2013
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“Learning human compliant behavior from demonstration for force-based robot manipulation”
Zhen Deng et al · 2016
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“WaveNet: A Generative Model for Raw Audio”
Aaron Oord · 2016
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“A mathematical introduction to robotic manipulation”
Richard Murray, Zexiang Li and S Sastry · 2017
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“Learning compliant manipulation tasks from force demonstrations”
Jianghua Duan et al · 2018
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“Fast planning for 3d any-pose-reorienting using pivoting”
Yifan Hou, Zhenzhong Jia and Matthew Mason · 2018
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“An intriguing failing of convolutional neural networks and the coordconv solution”
Rosanne Liu et al · 2018
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“Transferable force-torque dynamics model for peg-in-hole task”
Junfeng Ding, Chen Wang and Cewu Lu · 2019
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“Sequential learning unification controller from human demonstrations for robotic compliant manipulation”
“Impedance adaptation by reinforcement learning with contact dynamic movement primitives”
Chunyang Chang et al · 2022
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“See, hear, and feel: Smart sensory fusion for robotic manipulation”
Hao Li et al · 2022
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“Diffusion Policy: Visuomotor Policy Learning via Action Diffusion”
Cheng Chi et al · 2023
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“Training robots without robots: deep imitation learning for master-to-robot policy transfer”
Heecheol Kim, Yoshiyuki Ohmura, Akihiko Nagakubo and Yasuo Kuniyoshi · 2023
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“Mimicplay: Long-horizon imitation learning by watching human play”
Chen Wang et al · 2023
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Jianghua Duan, Yongsheng Ou, Sheng Xu and Ming Liu · 2019
Cited alongside, same era.
“Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks”
Michelle Lee et al · 2019
Cited alongside, same era.
“Variable impedance control in end-effector space: An action space for reinforcement learning in contact-rich tasks”
Roberto Martín-Martín et al · 2019
Cited alongside, same era.
“Variable compliance control for robotic peg-in-hole assembly: A deep-reinforcement-learning approach”
Cristian Beltran-Hernandez, Damien Petit, Ixchel Ramirez-Alpizar and Kensuke Harada · 2020
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“Learning force control for contact-rich manipulation tasks with rigid position-controlled robots”
Cristian Beltran-Hernandez et al · 2020
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“An image is worth 16x16 words: Transformers for image recognition at scale”
Alexey Dosovitskiy et al · 2020
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“Manipulation with shared grasping”
Yifan Hou, Zhenzhong Jia and Matthew Mason · 2020
Cited alongside, same era.
“Soft and rigid object grasping with cross-structure hand using bilateral control-based imitation learning”
Koki Yamane, Yuki Saigusa, Sho Sakaino and Toshiaki Tsuji · 2023
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“Viola: Imitation learning for vision-based manipulation with object proposal priors”
Yifeng Zhu, Abhishek Joshi, Peter Stone and Yuke Zhu · 2023
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“Few-shot learning of force-based motions from demonstration through pre-training of haptic representation”
Marina Aoyama, João Moura, Namiko Saito and Sethu Vijayakumar · 2024
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“Diffusion Policy: Visuomotor Policy Learning via Action Diffusion”
Cheng Chi et al · 2024
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Tatsuya Kamijo, Cristian Beltran-Hernandez and Masashi Hamaya · 2024
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“Symmetric models for visual force policy learning”
Colin Kohler, Anuj Srikanth, Eshan Arora and Robert Platt · 2024
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Wenhai Liu et al · 2024
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“ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data”
Zeyi Liu et al · 2024
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“FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty”
Michael Noseworthy et al · 2024
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“Learning force control for legged manipulation”
Tifanny Portela, Gabriel Margolis, Yandong Ji and Pulkit Agrawal · 2024
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