Intelligent collision avoidance for multi agent mobile robots

Aya Souliman, Abdulkader Joukhadar, Hamid Alturbeh, James F. Whidborne

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

2 Citations (Scopus)


This chapter presents a newly developed mobile robot based multi-agent system with capabilities of robust motion control and intelligent collision avoidance. The system consists of three mobile robots. One main robot acts as a master and the other two act as slaves. The master intelligently takes decisions as to which action to perform to avoid obstacles and collisions. The master mobile robot has the capability to swerve around a static or moving object when necessary. All possible conditions have been coordinated in a fuzzy knowledge base which is used to make a decision on the required maneuver to avoid a collision with a slave robot that the mobile robot may encounter on its driving lane. The proposed research has been carried out to simulate a real car driving regime on roads where the driver may not react properly. The system is implemented on a robot experimental test bench and some experimental results are presented and discussed.

Original languageEnglish
Title of host publicationIntelligent Systems for Science and Information
Subtitle of host publicationExtended and Selected Results from the Science and Information Conference 2013
EditorsLiming Chen, Supriya Kapoor, Rahul Bhatia
PublisherSpringer Verlag
Number of pages19
ISBN (Print)9783319047010
Publication statusPublished - 2014
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X


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