Title:
A Hybrid Systems and Optimization-Based Control Approach to Realizing Multi-Contact Locomotion on Transfemoral Prostheses

dc.contributor.author Zhao, Huihua
dc.contributor.author Horn, Jonathan
dc.contributor.author Reher, Jacob
dc.contributor.author Paredes, Victor
dc.contributor.author Ames, Aaron D.
dc.contributor.corporatename Georgia Institute of Technology. Institute for Robotics and Intelligent Machines en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Mechanical Engineering en_US
dc.contributor.corporatename Texas A & M University. Department of Mechanical Engineering en_US
dc.date.accessioned 2016-04-20T18:22:02Z
dc.date.available 2016-04-20T18:22:02Z
dc.date.issued 2015
dc.description © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. en_US
dc.description DOI: 10.1109/CDC.2015.7402440
dc.description.abstract This paper presents a systematic methodology utilizing multi-domain hybrid system models and optimization based controllers to achieve human-like multi-contact prosthetic walking experimentally on a custom-built prosthesis: AMPRO. Inspired by previous work that realized multi-contact locomotion on a bipedal robot AMBER2, a hybrid system based optimization problem is proposed leveraging the framework of multi-domain hybrid systems. Utilizing a reference human gait coupled with physical constraints, the end result of this optimization problem is stable multi-contact prosthetic gaits that can be implemented on the prostheses directly. Leveraging control methods that stabilize bipedal walking robots- control Lyapunov function based quadratic programs coupled with variable impedance control-an online optimization-based controller is formulated to realize the designed gait in both simulation and experimentally on AMPRO. Improved tracking and energy efficiency are seen when this methodology is implemented experimentally. Additionally, the resulting multi-contact prosthetic walking captures the essentials of natural human walking both kinematically and kinetically. en_US
dc.embargo.terms null en_US
dc.identifier.citation Zhao, H., Horn, J., Reher, J., Paredes, V., & Ames, A. D. (2015). A Hybrid Systems and Optimization-based Control Approach to Realizing Multi-contact Locomotion on Transfemoral Prostheses. 54th IEEE Conference on Decision and Control (CDC), 2015, pp. 1607-1612. en_US
dc.identifier.doi 10.1109/CDC.2015.7402440
dc.identifier.isbn 978-1-4799-7884-7
dc.identifier.uri http://hdl.handle.net/1853/54753
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers
dc.subject Bipedal walking robot en_US
dc.subject Control Lyapunov function en_US
dc.subject Prosthetic gait en_US
dc.subject Quadratic programs en_US
dc.title A Hybrid Systems and Optimization-Based Control Approach to Realizing Multi-Contact Locomotion on Transfemoral Prostheses en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
local.contributor.corporatename Advanced Mechanical Bipedal Experimental Robotics Lab
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
relation.isOrgUnitOfPublication 29d75055-4650-4521-943e-7f3cf6efc029
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