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Simulation research on reconfiguration locomotion planning for a 3-D self-reconfigurable robot

  • Harbin Institute of Technology

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

Abstract

Self-reconflgurable robot consists of numerous modules. It has various configurations and multiform locomotion modes. How to describe its configurations and how to plan its locomotion are difficult problems. To solve these problems, a novel description of modules and their surroundings was presented and modular locomotion rule base was established. Based on the rule base, a reconfiguration locomotion planning algorithm combined heuristic search with limited-horizon search was proposed for a self-reconfigurable robot HitMSR. In heuristic search second selecting method was adopted to minimize search space. Simulation results indicated that the algorithm can generate reconfiguration locomotion series automatically and efficiently in complex environments for 3-D self-reconfigurable robot with any initial configuration.

Original languageEnglish
Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages9178-9182
Number of pages5
DOIs
StatePublished - 2006
Event6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China
Duration: 21 Jun 200623 Jun 2006

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume2

Conference

Conference6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/TerritoryChina
CityDalian
Period21/06/0623/06/06

Keywords

  • Heuristic search
  • Reconfiguration planning
  • Second selecting
  • Self-reconfigurable robot

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