#250: Learning Prosthesis Control Parameters, with Helen Huang

Robohub

In this interview, Audrow Nash interviews Helen Huang, Joint Professor at the University of North Carolina at Chapel Hill and North Carolina State, about a method of tuning powered lower limb prostheses. Huang explains how powered prostheses are adjusted for each patient and how she is using supervised and reinforcement learning to tune prosthesis. Huang also discusses why she is not using the energetic cost of transport as a metric and the challenge of people adapting to a device while it learns from them.

Helen Huang

Helen Huang is a Joint Professor of Biomedical Engineering at the University of North Carolina at Chapel Hill and North Carolina State University. Huang directs the Neuromuscular Rehabilitation Engineering Laboratory (NREL), where her goal is to improve the quality of life of persons with physical disabilities. Huang completed her Doctoral studies at Arizona State University and Post Doctoral studies at the Rehabilitation Institute of Chicago.

 

 

 

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