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Research on path planning of robot using adaptive ant colony system

  • Fei Hu Jin*
  • , Hui Jun Gao
  • , Xiao Jian Zhong
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Heilongjiang Vocational College of Biology Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Aimed at the less robustness of conventional path planning method, an adaptive ant colony algorithm is presented to realize the path planning of space robot. The ant colony algorithm modifies the updating method of pheromone based on the distance between the learning times and the closest obstacle to reduce the stagnation behavior of the conventional ant colony algorithm in the initial calculation. Simulation results show that the proposed algorithm can obtain better path with less ants than the conventional ant colony system.

Original languageEnglish
Pages (from-to)1014-1018
Number of pages5
JournalHarbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume42
Issue number7
StatePublished - Jul 2010

Keywords

  • Ant colony algorithm
  • Path planning
  • Space robot

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