Skip to main content
padlock icon - secure page this page is secure

A Collision Prevention Technique for Multi-Agent Robot Systems with Topology Map

Buy Article:

$107.07 + tax (Refund Policy)

This paper proposes a novel collision prevention algorithm among multiple robots performing a single cooperative mission. In the proposed technique, individual robots perform their own tasks independently, but share a common geographical information, called topology map. Every time a robot encounters an intersection, it consults a central controller to find anew path and the central controller is responsible for finding a path that results in no collisions. In case that there are no such paths, the robot is forced to stay there for a while. The simulation results confirm that the proposed collision prevention technique safely removes the collisions in multi-agent robot missions.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Collision Prevention; Deadlock; Multi-Robot; Topology Map

Document Type: Research Article

Affiliations: Department of ECE, Ajou University, Suwon, Republic of Korea

Publication date: November 1, 2016

More about this publication?
  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more