This work studies the role-arbitration between a robot and a human during physical Human-Robot Interaction. The system is modeled as a Cartesian impedance, with the human and the robot interacting by applying two separate external forces. A reformulation of the problem as a Cooperative Differential Game allows addressing the bargaining problem by proposing a solution depending on the human interaction force, interpreted as the will to lead or follow. This defines the arbitration law and assigns the role of leader or follower to the robot. Experiments show the feasibility and capabilities of the proposed control in managing the human-robot arbitration during a shared-trajectory following task.

Human-Robot Role Arbitration with Cooperative Game Theory

Paolo franceschi
2022

Abstract

This work studies the role-arbitration between a robot and a human during physical Human-Robot Interaction. The system is modeled as a Cartesian impedance, with the human and the robot interacting by applying two separate external forces. A reformulation of the problem as a Cooperative Differential Game allows addressing the bargaining problem by proposing a solution depending on the human interaction force, interpreted as the will to lead or follow. This defines the arbitration law and assigns the role of leader or follower to the robot. Experiments show the feasibility and capabilities of the proposed control in managing the human-robot arbitration during a shared-trajectory following task.
2022
physical Human-Robot Interaction
Role Arbitration
Cooperative Differential Game Theory
Adaptive Control
Impedance Cont
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/416708
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