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A unified parametric representation for robotic compliant skills with adaptation of impedance and force

Zeng, Chao; Li, Yanan; Guo, Jing; Huang, Zhifeng; Wang, Ning; Yang, Chenguang

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Authors

Chao Zeng

Yanan Li

Jing Guo

Zhifeng Huang



Abstract

Robotic compliant manipulation is a very challenging but urgent research spot in the domain of robotics. One difficulty lies in the lack of a unified representation for encoding and learning of compliant profiles. This article aims to introduce a novel learning and control framework to address this problem: 1) we provide a parametric representation that enables a compliant skill to be encoded in a parametric space and allows a robot to learn compliant manipulation skills based on motion and force information collected from human demonstrations; and 2) the updating laws of the compliant profiles, including impedance and force profiles, are derived from a biomimetic control strategy based on the human motor learning principles. Our approach enables the simultaneous adaptation of impedance and feedforward force online during robot's reproduction of the demonstrated tasks to deal with task dynamics and external interferences. The proposed approach is verified based on both simulation and real-world task scenarios.

Citation

Zeng, C., Li, Y., Guo, J., Huang, Z., Wang, N., & Yang, C. (2022). A unified parametric representation for robotic compliant skills with adaptation of impedance and force. IEEE/ASME Transactions on Mechatronics, 27(2), 623-633. https://doi.org/10.1109/tmech.2021.3109160

Journal Article Type Article
Acceptance Date Aug 26, 2021
Online Publication Date Sep 27, 2021
Publication Date 2022-04
Deposit Date Sep 29, 2021
Publicly Available Date Sep 30, 2021
Journal IEEE/ASME Transactions on Mechatronics
Print ISSN 1083-4435
Electronic ISSN 1941-014X
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 27
Issue 2
Pages 623-633
DOI https://doi.org/10.1109/tmech.2021.3109160
Keywords Electrical and Electronic Engineering; Computer Science Applications; Control and Systems Engineering
Public URL https://uwe-repository.worktribe.com/output/7860486

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