Fault Tolerance in Crab Walking of Quadruped Robots

Jung Min Yang, Kwang Hyun Shim

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

2 Scopus citations

Abstract

In this paper, an algorithm for tolerating a locked joint failure is described in gait planning for a quadruped robot with crab walking. A locked joint failure is one for which a joint cannot move and is locked in place [1]. If a failed joint is locked, the workspace of the resulting leg is constrained, but legged robots have fault tolerance capability to continue walking maintaining static stability. A strategy for fault tolerant gaits is described and, especially, a periodic gait is presented for crab walking of a quadruped robot. The leg sequence and the formula of the stride length are analytically driven based on gait study and robot kinematics. The adjustment procedure from a normal gait to the proposed fault tolerant crab gait is shown to demonstrate the applicability of the proposed scheme.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Machine Learning; Models, Technologies and Applications, MLMTA 03
EditorsH.R. Arabnia, E.B. Kozerenko
Pages35-36
Number of pages2
StatePublished - 2003
EventProceedings of the International Conference on Machine Learning; Models, Technologies and Applications, MLMTA'03 - Las Vegas, NV, United States
Duration: 23 Jun 200326 Jun 2003

Publication series

NameProceedings of the International Conference on Machine Learning; Models, Technologies and Applications

Conference

ConferenceProceedings of the International Conference on Machine Learning; Models, Technologies and Applications, MLMTA'03
Country/TerritoryUnited States
CityLas Vegas, NV
Period23/06/0326/06/03

Keywords

  • Crab walking
  • Fault tolerance
  • Gait study
  • Locked joint failures
  • Quadruped robots

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