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.