Obstacle avoidance for multi-agent systems based on stream function and hierarchical associations

Yongqiang Bai*, Wenzhi Xiao, Ha Fang, Jixiang Li, Jing Cui

*Corresponding author for this work

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

9 Citations (Scopus)

Abstract

This paper deals with the problem of obstacle avoidance for multi-agent systems. A novel framework is presented which combines the stream function with the artificial potential field. The introduction of stream function makes obstacle avoidance smoother while interactive potential guarantees stability of the system. A dynamic structure with visibility constraint and hierarchical associations is further explored to improve the performance. Finally, results of simulation as well as experiment on Pioneer3 robots verify the validity of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 31st Chinese Control Conference, CCC 2012
Pages6363-6367
Number of pages5
Publication statusPublished - 2012
Event31st Chinese Control Conference, CCC 2012 - Hefei, China
Duration: 25 Jul 201227 Jul 2012

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference31st Chinese Control Conference, CCC 2012
Country/TerritoryChina
CityHefei
Period25/07/1227/07/12

Keywords

  • hierarchical associations
  • multi-agent
  • obstacle avoidance
  • stream function

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