Orthopedic rehabilitation after upper-limb trauma increasingly emphasizes protected early motion, quantitative monitoring, and patient-specific assistance. This narrative review examines how reinforcement learning (RL) may contribute to wearable robotic systems for orthopedic rehabilitation, with emphasis on elbow-cent...
Yash Jayeshbhai Patel, Bikram Bhakat, Abhijeet Patel et al.· Zenodo (CERN European Organi...· 0 citations
Orthopedic rehabilitation after upper-limb trauma increasingly emphasizes protected early motion, quantitative monitoring, and patient-specific assistance. This narrative review examines how reinforcement learning (RL) may contribute to wearable robotic systems for orthopedic rehabilitation, with emphasis on elbow-cent...
Yash Jayeshbhai Patel, Bikram Bhakat, Abhijeet Patel et al.· Zenodo (CERN European Organi...· 0 citations
The literature supports a staged translational strategy centered on hierarchical control, conservative safety design, and clinically bounded personalization, which is most defensible as a supervisory or personalization layer that adapts assistance within hard constraints on torque, speed, and range of motion.
Y. Patel, Bikram Bhakat, Abhijeet Patel et al.· International Journal of Sci...· 0 citations
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