Stable path planning algorithm for avoidance of dynamic obstacles

Won Seok Kang, Sanghun Yun, Hyung Oh Kwon, Rock Hyun Choi, Chang Sik Son, Dong Ha Lee

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

4 Scopus citations

Abstract

Previous research of path planning has focused mainly on finding shortest paths or smallest movements. These methods, however, have poor stability characteristics when dynamic obstacles are considered on real-life or in-body map's environments. In this paper, we suggest a stable path planning algorithm for avoidance of dynamic obstacles. The proposed method makes the movement of a mobile robot more stable in a dynamic environment. Our focus is based on finding optimal movements for stability rather than finding shortest paths or smallest movements. The algorithm is based on Genetic Algorithm (GA) and uses k-means clustering to recognize the distribution of dynamics obstacles in various mobile space. Simulation results confirm this method can determine stable paths through environments involving dynamic obstacles. In order to validate our results, we compared the dynamic k values used in k-means clustering and grid-based dynamic cell sizes from several test sets.

Original languageEnglish
Title of host publication9th Annual IEEE International Systems Conference, SysCon 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages578-581
Number of pages4
ISBN (Electronic)9781479959273
DOIs
StatePublished - 2 Jun 2015
Event9th Annual IEEE International Systems Conference, SysCon 2015 - Vancouver, Canada
Duration: 13 Apr 201516 Apr 2015

Publication series

Name9th Annual IEEE International Systems Conference, SysCon 2015 - Proceedings

Conference

Conference9th Annual IEEE International Systems Conference, SysCon 2015
Country/TerritoryCanada
CityVancouver
Period13/04/1516/04/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Complex Map
  • Dynamic Obstacle
  • GA
  • Path Planning

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