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An ACO-based Off-line Path Planner for Nonholonomic Mobile Robots

  • Nuwan Ganganath*
  • , Chi-Tsun Cheng
  • , Chi K. Tse
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

The path planning is an important issue as it allows a robot to get from a point to another. Such a path between two points has to be optimized based on user defined requirements and environmental conditions. Most of the existing solutions to path planning problem assume robots to be holonomic. However, ordinary mobile robots are kinematically constrained in practice. A novel solution has been proposed for the path planning problem based on existing ant colony optimization methods which can be realized with practical mobile robots with the aforementioned constraints. Simulation results show the applicability of the proposed path planner to the nonholonomic mobile robots. Performance of the proposed algorithm has been compared with its preceding version. The performance of the proposed path planner may be further improved by fine-tuning its parameters. © 2014 IEEE.
Original languageEnglish
Title of host publication2014 IEEE International Symposium on Circuits and Systems (ISCAS)
PublisherIEEE
Pages1038-1041
ISBN (Print)9781479934324
DOIs
Publication statusPublished - Jun 2014
Externally publishedYes
Event2014 IEEE International Symposium on Circuits and Systems (ISCAS 2014) - Melbourne, Australia
Duration: 1 Jun 20145 Jun 2014

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2014 IEEE International Symposium on Circuits and Systems (ISCAS 2014)
PlaceAustralia
CityMelbourne
Period1/06/145/06/14

Research Keywords

  • ACO
  • field-of-view
  • mobile robots
  • nonholonomic
  • path planning

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