Human-robot cooperative control for mobility impaired individuals

Lu Lu, John T. Wen

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

5 Scopus citations

Abstract

In this paper, we develop a human-robot cooperative control system to aid the independence of quadriplegic and other mobility impaired individuals. The hardware of the system consists of a 14-DOF dual-arm robot mounted on a wheelchair. The full system is commanded by the user using a sip-puff device to control any 3-DOF motion of the mobile manipulator system. A novel human-robot cooperative control strategy is proposed to combine the 3-DOF user input with autonomous control for this highly redundant system. The human input commands are formulated as soft equality constraints, while the obstacle avoidance, singularity avoidance and workspace limitation are formulated as inequality constraints based on the potential field functions. A new redundancy resolution control scheme is designed such that when the system is far from the inequality constraint boundaries, the human input will be followed. Near the constraint boundary, the human input commands will be automatically modified to prevent constraint violation. We show that such redundancy resolution scheme guarantees that the inequality constraints are always satisfied. Experimental results are included to demonstrate the effectiveness of the proposed scheme.

Original languageEnglish (US)
Title of host publicationACC 2015 - 2015 American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages447-452
Number of pages6
ISBN (Electronic)9781479986842
DOIs
StatePublished - Jul 28 2015
Externally publishedYes
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: Jul 1 2015Jul 3 2015

Publication series

NameProceedings of the American Control Conference
Volume2015-July
ISSN (Print)0743-1619

Other

Other2015 American Control Conference, ACC 2015
CountryUnited States
CityChicago
Period7/1/157/3/15

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Keywords

  • Assistive Robotics
  • Human-machine Interaction
  • Mobile Manipulation
  • Redundancy resolution

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