Numerical potential field and ant colony optimization based path planning in dynamic environment

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17 Scopus citations

Abstract

A new path planning method is developed in this paper for mobile robot navigation. A novel method called numerical potential field is employed to model the environment the robot resides in. The locomotion of the obstacles is taken into considerations by varying the local potential values. The concepts of reachable place and reachable field are defined. Ant colony optimization method is then applied to perform the path search. The trap position problem and its solution is also discussed. Experiments showed the effectiveness of the algorithm.

Original languageEnglish
Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages8966-8970
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

  • Ant colony optimization algorithm
  • Numerical potential field
  • Path planning

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