A new intelligent system for “tuning” powered prosthetics promises to enable people using a robotic prosthetic knee to walk comfortably within minutes of using the technology — rather than taking several hours. Jennie Si, a Fulton Schools professor of electrical, computer and energy engineering, developed the system with colleagues at North Carolina State University and the University of North Carolina. The prosthetic device was devised for scenarios in which a patient is walking on a level surface, but it could be developed further to enable users to go up and down stairs, Si says.

See Also: AI Helps Amputee Walk With a Robotic Knee, IEEE Spectrum, January 25

Machine Learning Customizes Powered Knee Prosthetics for New Users in Minutes, R&D Magazine, January 23

Reinforcement Learning Expedites ‘Tuning’ of Robotic Prosthetics,  I-Connect007, January 18