Rehabilitation Robot

Rehabilitation robots aim to improve motor function recovery in patients with mobility impairments through targeted, repetitive exercises. Current research emphasizes enhancing user experience through innovative actuation mechanisms (e.g., magnetic systems) and advanced control algorithms (e.g., Kalman filters, admittance controllers with singularity avoidance) to ensure safe and effective training. Addressing data scarcity in robot training is a key focus, with federated learning approaches enabling collaborative model development across multiple hospitals while preserving patient privacy. These advancements hold significant promise for improving the accessibility and effectiveness of rehabilitation therapies.