Research and development of new generation robotic exoskeleton for over ground walking in individuals with mobility disorders (Novel design and control)

Ghaith J. Androwis, Kiran Karunakaran, Erick Nunez, Peter Michael, Guang Yue, Richard A. Foulds

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

4 Scopus citations

Abstract

The potential of improving ambulation and enhancing mobility for individuals with different types of neurological disabilities is possible through the use of robotic exoskeletons. Yet, current robotic technology, when used for rehabilitation or as assistive devices for over ground walking, should consider user intended movements to achieve more biologically similar gait patterns. Our robotic exoskeleton, the New Jersey Trekker, includes sufficient degrees of freedom, joint torque and sensing capabilities to permit the generation of a more natural gait controlled in real-time by the user's intended movements. The primary control strategy of the Trekker employs admittance control to convey user hand movements to control the exoskeleton's leg movement. We expect that this novel interface will transform user-exoskeleton control strategies and enable the user to independently ambulate in the real-world, and enhance community independence.

Original languageEnglish (US)
Title of host publication2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781538643778
DOIs
StatePublished - Jun 12 2018
Externally publishedYes
Event2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017 - Houston, United States
Duration: Nov 5 2017Nov 8 2017

Publication series

Name2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017

Other

Other2017 International Symposium on Wearable Robotics and Rehabilitation, WeRob 2017
Country/TerritoryUnited States
CityHouston
Period11/5/1711/8/17

All Science Journal Classification (ASJC) codes

  • Rehabilitation
  • Artificial Intelligence
  • Biomedical Engineering
  • Control and Optimization
  • Clinical Neurology

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