"Case Study: A Bio-Inspired Control Algorithm for a Robotic Foot-Ankle ..."

Uzma Tahir et al. (2018)

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DOI: 10.3389/FROBT.2018.00036

access: open

type: Journal Article

metadata version: 2021-10-14

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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:
Case Study: A Bio-Inspired Control Algorithm for a Robotic Foot-Ankle Prosthesis Provides Adaptive Control of Level Walking and Stair Ascent. Frontiers Robotics AI 5: 36 (2018)

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