A study of a 4DOF upper-limb power-assist intelligent exoskeleton with visual information for perception-assist

Kazuo Kiguchi, Manoj Liyanage

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

12 Citations (Scopus)

Abstract

This paper presents a concept of an upper-limb power assist intelligent exoskeleton with visual information as a second stage of the research on power-assist exoskeleton systems in order to help daily activities of physically weak persons. The proposed exoskeleton assists not only the motion of the user but also the perception of the user using sensors and a stereo camera. In the proposed power-assist method, the assisted user's motion can be modified based on the environmental information obtained by the sensors and the camera if problems are found in the user's motion. The effectiveness of the proposed intelligent exoskeleton was evaluated by experiments.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Robotics and Automation, ICRA 2008
Pages3666-3671
Number of pages6
DOIs
Publication statusPublished - Sep 18 2008
Externally publishedYes
Event2008 IEEE International Conference on Robotics and Automation, ICRA 2008 - Pasadena, CA, United States
Duration: May 19 2008May 23 2008

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Other

Other2008 IEEE International Conference on Robotics and Automation, ICRA 2008
CountryUnited States
CityPasadena, CA
Period5/19/085/23/08

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All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

Cite this

Kiguchi, K., & Liyanage, M. (2008). A study of a 4DOF upper-limb power-assist intelligent exoskeleton with visual information for perception-assist. In 2008 IEEE International Conference on Robotics and Automation, ICRA 2008 (pp. 3666-3671). [4543773] (Proceedings - IEEE International Conference on Robotics and Automation). https://doi.org/10.1109/ROBOT.2008.4543773