Efficient collision-free path-planning of multiple mobile robots system using efficient artificial bee colony algorithm

Jun Hao Liang, Ching Hung Lee*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

67 Scopus citations

Abstract

This paper aims to propose a novel design approach for on-line path planning of the multiple mobile robots system with free collision. Based on the artificial bee colony (ABC) algorithm, we propose an efficient artificial bee colony (EABC) algorithm for solving the on-line path planning of multiple mobile robots by choosing the proper objective function for target, obstacles, and robots collision avoidance. The proposed EABC algorithm enhances the performance by using elite individuals for preserving good evolution, the solution sharing provides a proper direction for searching, the instant update strategy provides the newest information of solution. By the proposed approach, the next positions of each robot are designed. Thus, the mobiles robots can travel to the designed targets without collision. Finally, simulation results of illustration examples are introduced to show the effectiveness and performance of the proposed approach.

Original languageEnglish
Pages (from-to)47-56
Number of pages10
JournalAdvances in Engineering Software
Volume79
DOIs
StatePublished - Jan 2015

Keywords

  • Artificial bee colony algorithm
  • Collision avoidance
  • Instant update
  • Multiple mobile robots
  • Optimization
  • Path planning

Fingerprint Dive into the research topics of 'Efficient collision-free path-planning of multiple mobile robots system using efficient artificial bee colony algorithm'. Together they form a unique fingerprint.

Cite this