Reinforcement learning expedites ‘tuning’ of robotic prosthetics

Researchers have developed an intelligent system for ‘tuning’ powered prosthetic knees, allowing patients to walk comfortably with the prosthetic device in minutes, rather than the hours necessary if the device is tuned by a trained clinical practitioner. The system is the first to rely solely on reinforcement learning to tune the robotic prosthesis.

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