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Mobile robots path planning and mobile multirobots control: A review

Published online by Cambridge University Press:  24 June 2022

Bassem Hichri Open the ORCID record for Bassem Hichri [Opens in a new window] ,
Abir Gallala ,
Francesco Giovannini  and
Slawomir Kedziora
Bassem Hichri*
Affiliation:
Guala Closures Group – University of Luxembourg, Department of Engineering, Foetz3895, Luxembourg
Abir Gallala
Affiliation:
University of Luxembourg, Department of Engineering, Luxembourg 1359, Luxembourg
Francesco Giovannini
Affiliation:
Guala Closures Group, Foetz3895, Luxembourg
Slawomir Kedziora
Affiliation:
University of Luxembourg, Department of Engineering, Luxembourg 1359, Luxembourg
*
*Corresponding author. E-mail: [email protected]
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Abstract

Mobile robots and multimobile robotic system usage for task achievement have been an emerging research area since the last decades. This article presents a review about mobile robot navigation problem and multimobile robotic systems control. The main focus is made on path planning strategies and algorithms in static and dynamic environments. A classification on mobile robots path planning has been defined in the literature and divided to classical and heuristic approaches. Each of them has its own advantages and drawbacks. On the other hand, the control of multimobile robots is presented and the control approaches for a fleet of robots are presented. Scientists found that using more than one robot as opposed to a single one presents many advantages when considering redundant task, dangerous tasks, or a task that scales up or down in time or that requires flexibility. They have defined three main approaches of multiple robots control: behavior-based approach, leader–follower approach, and virtual structure approach. This article addresses these approaches and provides examples from the literature.

Keywords

mobile robotsmultirobot systemcontrol architecturepath planningclassical and Heuristic approachesbehavior-based approachleader–follower approach and virtual structure approach
Type
Review Article
Information
Robotica , Volume 40 , Issue 12 , December 2022 , pp. 4257 - 4270
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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