Visible to the public Learning Impedance Controller Parameters for Lower-Limb ProsthesesConflict Detection Enabled

TitleLearning Impedance Controller Parameters for Lower-Limb Prostheses
Publication TypeConference Paper
Year of Publication2013
AuthorsNavid Aghasadeghi, University of Illinois at Urbana-Champaign, Huihua Zhao, Texas A&M University, Levi J. Hargrove, Northwestern University, Aaron D. Ames, Texas A&M University, Eric J. Perreault, Northwestern University, Timothy Bretl, University of Illinois at Urbana-Champaign
Conference Name2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Date Published11/2013
Conference LocationTokyo, Japan
KeywordsNSA SoS Lablets Materials, science of security, Theoretical Foundations of Threat Assessment by Inverse Optimal Control, UIUC
Abstract

Impedance control is a common framework for control of lower-limb prosthetic devices. This approach requires choosing many impedance controller parameters. In this paper, we show how to learn these parameters for lower-limb prostheses by observation of unimpaired human walkers. We validate our approach in simulation of a transfemoral amputee, and we demonstrate the performance of the learned parameters in a preliminary experiment with a lower-limb prosthetic device.

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Learning Impedance Controller Parameters for Lower-Limb Prostheses