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A Multi-Agent Navigation Controller for Sequential Tasks Performing

  • Soochow University

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

Abstract

Most of the existing multi-agents navigation controllers are designed for single task, which cannot fulfill the growing demand of the complex work that generally requires a series of sequential sub-tasks. This paper reports a novel controller for multi-agent navigation to perform multiple sub-tasks, which can sequentially and continuously drive grouped target agents to different sub-task convergence regions without tasks reassignment while avoid collisions with obstacles. The proposed potential field-based controller was developed by utilizing the principles of contractive coalition and switching region. Simulation was performed on the navigation of multi-agent to different convergence regions sequentially to verify the availability of the proposed controller.

Original languageEnglish
Title of host publication2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1680-1684
Number of pages5
ISBN (Print)9781538604892
DOIs
StatePublished - 24 Aug 2018
Externally publishedYes
Event7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017 - Honolulu, United States
Duration: 31 Jul 20174 Aug 2017

Publication series

Name2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017

Conference

Conference7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
Country/TerritoryUnited States
CityHonolulu
Period31/07/174/08/17

Keywords

  • convergence
  • multi-agent
  • multi-task
  • navigation

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