#250: Learning Prosthesis Control Parameters, with Helen Huang Dec. 24, 2017

from Robohub Podcast· ·

Helen Huang on improving a users experience with a prosthetic through online learning of control parameters

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.