Case study: A bio-inspired control algorithm for a robotic foot-ankle prosthesis provides adaptive control of level walking and stair ascent

Uzma Tahir, Anthony L. Hessel, Eric R. Lockwood, John T. Tester, Zhixiu Han, Daniel J. Rivera, Kaitlyn L. Covey, Thomas G. Huck, Nicole A. Rice, Kiisa C. Nishikawa

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Fingerprint

Dive into the research topics of 'Case study: A bio-inspired control algorithm for a robotic foot-ankle prosthesis provides adaptive control of level walking and stair ascent'. Together they form a unique fingerprint.

Engineering & Materials Science