Key points are not available for this paper at this time.
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.
Li et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: