Rehabilitation Robotics: A Synergy of Game Theory and Event-Triggered Multi-Agent Control for Enhanced Patient-Centric Recovery

This article explores the utilization of rehabilitation robots in systems dedicated to patient improvement. Game theory is employed as a tool for patient-robot interaction, where patients follow desirable paths displayed on monitors for enhancement. Various scenarios are examined to aid patient improvement. The implementation of multi-agent control is introduced, featuring an event-triggered controller that improves energy efficiency by transmitting information only when an event occurs. The paper endeavors to mathematically elaborate on these concepts and ultimately evaluates the systems through simulations.