Role adaptation of human and robot in collaborative tasks

Role adaptation of human and robot in collaborative tasks
Title:
Role adaptation of human and robot in collaborative tasks
Other Titles:
2015 IEEE International Conference on Robotics and Automation (ICRA)
Publication Date:
26 May 2015
Citation:
Y. Li, K. P. Tee, W. L. Chan, R. Yan, Y. Chua and D. K. Limbu, "Role adaptation of human and robot in collaborative tasks," 2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, 2015, pp. 5602-5607. doi: 10.1109/ICRA.2015.7139983
Abstract:
In this paper, a role adaptation method is developed for human-robot collaboration based on game theory. This role adaptation is engaged whenever the interaction force changes, causing the proportion of control sharing between human and robot to vary. In one boundary condition, the robot takes full control of the system when there is no human intervention. In the other boundary condition, it becomes a follower when the human exhibits strong intention to lead the task. Experimental results show that the proposed method yields better overall performance than fixed-role interactions.
License type:
PublisherCopyrights
Funding Info:
SERC Grant No. 1225100001
Description:
(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1050-4729
ISBN:
978-1-4799-6923-4
978-1-4799-6921-0
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