Feedback Control of an Exoskeleton for Paraplegics: Toward Robustly Stable Hands-free Dynamic Walking
February 22, 2018 Β· Declared Dead Β· π IEEE Control Systems
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Authors
Omar Harib, Ayonga Hereid, Ayush Agrawal, Thomas Gurriet, Sylvain Finet, Guilhem Boeris, Alexis Duburcq, M. Eva Mungai, Matthieu Masselin, Aaron D. Ames, Koushil Sreenath, Jessy Grizzle
arXiv ID
1802.08322
Category
cs.RO: Robotics
Citations
103
Venue
IEEE Control Systems
Last Checked
4 months ago
Abstract
This manuscript presents control of a high-DOF fully actuated lower-limb exoskeleton for paraplegic individuals. The key novelty is the ability for the user to walk without the use of crutches or other external means of stabilization. We harness the power of modern optimization techniques and supervised machine learning to develop a smooth feedback control policy that provides robust velocity regulation and perturbation rejection. Preliminary evaluation of the stability and robustness of the proposed approach is demonstrated through the Gazebo simulation environment. In addition, preliminary experimental results with (complete) paraplegic individuals are included for the previous version of the controller.
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