Title:
A Hybrid Systems and Optimization-Based Control Approach to Realizing Multi-Contact Locomotion on Transfemoral Prostheses
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 |
Files
Original bundle
1 - 1 of 1
- Name:
- multicontact_2015cdc_finalsubmission.pdf
- Size:
- 2.16 MB
- Format:
- Adobe Portable Document Format
- Description:
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 3.13 KB
- Format:
- Item-specific license agreed upon to submission
- Description: