A genetic approach to optimize the coverage performance of multiple random path-planning robots

Ahsan Habib, M. S. Alam, F. M. Aldebrez, N. H. Siddique

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

Abstract

This paper presents a new approach to multi-agent coverage path planning problem. This algorithm enables multiple robots with limited sensor capabilities to perform coverage efficiently over a shared territory. Each robot is assigned with an exclusive route, which enables it to carry out its cleaning process simultaneously with minimal path overlapping. The objectives of this work are (i) Identify a path for each robot such that each robot is responsible for covering a different region. In this way, there will be minimal overlap between coverage of the robots, (ii) the methods and procedures must be applicable to a group of simple mobile robots with very few sensors to guarantee their industrial interest.

Original languageEnglish
Title of host publicationMobile Robotics
Subtitle of host publicationSolutions and Challenges - Proceedings of the 12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009
Pages1091-1098
Number of pages8
StatePublished - 2010
Externally publishedYes
Event12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009 - Istanbul, Turkey
Duration: 9 Sep 200911 Sep 2009

Publication series

NameMobile Robotics: Solutions and Challenges - Proceedings of the 12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009

Conference

Conference12th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2009
Country/TerritoryTurkey
CityIstanbul
Period9/09/0911/09/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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