A triangular formation strategy for collective behaviors of robot swarm

Xiang Li, M. Fikret Ercan, Yu Fai Fung

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

14 Citations (Scopus)

Abstract

This paper presents, a novel decentralized control strategy, named Triangular Formation Algorithm (TFA), for a swarm of simple robots. The TFA is a local interaction strategy which basically makes three neighboring robots to form a regular triangular lattice. This strategy requires minimal conditions for robots and it can be easily realized with real robots. The TFA is executed by every member of the swarm asynchronously. For swarm obstacle avoidance, a simplified artificial physical model is introduced to work with the TFA. Simulation results showed that the global behaviors of swarm such as aggregation, flocking and obstacle avoidance in an unknown environment can be achieved using the TFA and obstacle avoidance mechanism.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2009 - International Conference, Proceedings
Pages897-911
Number of pages15
EditionPART 1
DOIs
Publication statusPublished - Jul 2009
EventInternational Conference on Computational Science and Its Applications, ICCSA 2009 - Seoul, Korea, Republic of
Duration: 29 Jun 20092 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5592 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Computational Science and Its Applications, ICCSA 2009
Country/TerritoryKorea, Republic of
CitySeoul
Period29/06/092/07/09

Keywords

  • Distributed control
  • Swarm Intelligence
  • Swarm robotics

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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