Multi-robot cooperative box-pushing problem using multi-objective Particle Swarm Optimization technique

Arnab Ghosh, Avishek Ghosh, Amit Konar, R. Janarthanan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

The present work provides a new approach to solve the well-known multi-robot co-operative box pushing problem as a multi objective optimization problem using modified Multi-objective Particle Swarm Optimization. The method proposed here allows both turning and translation of the box, during shift to a desired goal position. We have employed local planning scheme to determine the magnitude of the forces applied by the two mobile robots perpendicularly at specific locations on the box to align and translate it in each distinct step of motion of the box, for minimization of both time and energy. Finally the results are compared with the results obtained by solving the same problem using Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The proposed scheme is found to give better results compared to NSGA-II.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 World Congress on Information and Communication Technologies, WICT 2012
Pages272-277
Number of pages6
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 World Congress on Information and Communication Technologies, WICT 2012 - Trivandrum, India
Duration: Oct 30 2012Nov 2 2012

Publication series

NameProceedings of the 2012 World Congress on Information and Communication Technologies, WICT 2012

Conference

Conference2012 World Congress on Information and Communication Technologies, WICT 2012
Country/TerritoryIndia
CityTrivandrum
Period10/30/1211/2/12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Keywords

  • Cooperative systems
  • Genetic algorithms
  • Particle swarm optimization
  • Robot motion

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