Paper Info
Title
Intention-Driven Variable Impedance Control For Physical Human-Robot Interaction
Abstract
The technology of physical human-robot interaction (pHRI) aims to combine the advantages of both humans and robots, and it is now playing a significant role in many industrial and medical applications. However, the open issues of safety and efficiency have not been systematically addressed for pHRI. In this paper, a new intention-driven variable impedance controller is proposed for compliantly-driven robots, where the robot is controlled to track the estimated human motion intention under a variable desired impedance model. The human motion intention is represented with the desired angle of the human limb and approximated with adaptive neural networks (NNs). Then, the impedance parameters are adjusted online according to the offset between the desired angle and the current joint configuration of the robot. Such a formulation allows the robot to predict human behavior for better collaboration and hence improve the safety and the efficiency of pHRI. The stability of the closed-loop system is rigorously proved with Lyapunov methods, and experiments on a lower-limb exoskeleton are conducted to evaluate the performance of the proposed controller.
Year
DOI
Venue
2021
10.1109/AIM46487.2021.9517438
2021 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM)
DocType
ISSN
Citations 
Conference
2159-6255
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Yingxin Huo100.34
X. Li219820.27
Xuan Zhang300.34
Dong Sun496687.31