Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm

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

7 Citations (Scopus)

Abstract

This paper describes the evolutionary planning strategies for mobile robot to move along the streamlined collision-free paths in a known static environment. The Cognitive Map method is combined with genetic algorithm to derive the mobile robot optimal moving path towards its goal functions. In this study, multi-objectives genetic algorithm (MOGA) is utilized due to there are more than one objective need to be achieved while planning for the robot moving path. Goal-factor and obstacle-factor are the key parameters incorporated in the MOGA fitness functions. The simulation results showed that the hybrid Cognitive Map approach with MOGA is capable of navigating a robot situated among non-moving obstacles. The proposed hybrid method demonstrates good performance in planning and optimizing mobile robot moving path with stationary obstacles and goal.

Original languageEnglish
Title of host publicationICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents
Pages267-272
Number of pages6
DOIs
Publication statusPublished - 05 Jun 2009
Event4th International Conference on Autonomous Robots and Agents, ICARA 2009 - Wellington, New Zealand
Duration: 10 Feb 200912 Feb 2009

Publication series

NameICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents

Other

Other4th International Conference on Autonomous Robots and Agents, ICARA 2009
CountryNew Zealand
CityWellington
Period10/02/0912/02/09

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Krishnan, P. S., Paw, J. K. S., & Kiong, T. S. (2009). Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm. In ICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents (pp. 267-272). [4803970] (ICARA 2009 - Proceedings of the 4th International Conference on Autonomous Robots and Agents). https://doi.org/10.1109/ICARA.2000.4803970