Assist-as-needed control of a wearable lightweight knee robotic device

Kyle Hunte, Siyu Chen, Jingang Yi, Hao Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Knee joint actuation plays a critical role to keep human walking locomotion and balance under abnormal conditions, such as foot slip or work-related musculoskeletal disorders etc. Wearable assistive robotic knee devices provide additional support and actuation for human walkers. We present assist-as-needed control strategy for a lightweight, highly-backdrivable soft knee assistive device. The control design takes advantages of the custom-built high-performance knee assistive device and the muscle synergy-based human walking actuation model. A model predictive control (MPC) design is used for real-time tuning physical human-robot interactions. Human-in-the-loop simulation results are presented to demonstrate the performance of the robotic control systems under normal walking condition.

Original languageEnglish (US)
Title of host publication2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1477-1482
Number of pages6
ISBN (Electronic)9781728167947
DOIs
StatePublished - Jul 2020
Event2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020 - Boston, United States
Duration: Jul 6 2020Jul 9 2020

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2020-July

Conference

Conference2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2020
Country/TerritoryUnited States
CityBoston
Period7/6/207/9/20

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Software

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