Kinematic Optimization and Comparison of Wheelchair-mounted Assistive Robots for Activities of Daily Living

  • Elias Jose Munoz Montenegro*
  • , Md Samiul Haque Sunny
  • , Javier Dario Sanjuan De Caro
  • , Brahim Brahmi
  • , Jawhar Ghommam
  • , Maarouf Saad
  • , Helal Uddin Ahmed
  • , Mohammad H. Rahman
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The number of wheelchair users has increased at an alarming rate throughout the last decade due to the increased number of individuals with upper/lower extremity dysfunctions resulting from a stroke, spinal cord injury, trauma, accident, or workplace injuries. Wheelchair-mounted assistive robots have been playing an important role in assisting the activities of daily living (ADLs) of these individuals. This research focuses on the design optimization of wheelchair-mounted assisted robots for essential ADLs. The genetic algorithm (GA) was used to estimate the link length parameters of 5 degrees of freedom (DoFs), 6DoFs, and 7DoFs wheelchair-mounted robots to cover the seven workspaces commonly used in ADLs. The objective function used in the GA includes singularity avoidance, collision avoidance, and ADL coverage. The results show that the proposed optimized 5DoFs robot can cover 25%, 6 DoFs robot can cover 69%, and 7 DoFs robot can cover 71% of essential ADL workspaces.

Original languageEnglish
Title of host publication14th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350399967
DOIs
StatePublished - 2023
Externally publishedYes
Event14th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2023 - Montreal, Canada
Duration: 7 Aug 202310 Aug 2023

Publication series

NameProceedings of the International Conference on Power Electronics and Drive Systems
Volume2023-August
ISSN (Print)2164-5256
ISSN (Electronic)2164-5264

Conference

Conference14th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2023
Country/TerritoryCanada
CityMontreal
Period7/08/2310/08/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Activities of daily living
  • Assistive robots
  • Collision constraints
  • Optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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