A Framework of Human-Robot Coordination Based on Game Theory and Policy Iteration
In this paper, we propose a framework to analyze the interactive behaviors of humans and robots in physical interactions. Game theory is employed to describe the system under study, and policy iteration is adopted to provide a solution of Nash equilibrium. The human's control objective is estim...
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Veröffentlicht in: | IEEE transactions on robotics 2016-12, Vol.32 (6), p.1408-1418 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In this paper, we propose a framework to analyze the interactive behaviors of humans and robots in physical interactions. Game theory is employed to describe the system under study, and policy iteration is adopted to provide a solution of Nash equilibrium. The human's control objective is estimated based on the measured interaction force, and it is used to adapt the robot's objective such that human-robot coordination can be achieved. The validity of the proposed method is verified through a rigorous proof and experimental studies. |
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ISSN: | 1552-3098 1941-0468 |
DOI: | 10.1109/TRO.2016.2597322 |