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Trajectory planning and control of multiple mobile robot using hybrid MKH-fuzzy logic controller

Published online by Cambridge University Press:  02 June 2022

Saroj Kumar Open the ORCID record for Saroj Kumar [Opens in a new window]  and
Dayal R. Parhi
Saroj Kumar*
Affiliation:
Robotics Laboratory, National Institute of Technology, Rourkela, Odisha769008, India
Dayal R. Parhi
Affiliation:
Robotics Laboratory, National Institute of Technology, Rourkela, Odisha769008, India
*
*Corresponding author. E-mail: Saroj4sks@gmail.com
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Abstract

Robotics with artificial intelligence techniques have been the center of attraction among researchers as it is well equipped in the area of human intervention. Here, the krill herd (KH) optimization algorithm is modified and hybridized with a fuzzy logic controller to frame an intelligent controller for optimal trajectory planning and control of mobile robots in obscure environments. The controller is demonstrated for single and multiple robot’s trajectory planning. A Petri-net controller has also been added to avoid conflict situations in multi-robot navigation. MATLAB and V-REP software are used to simulate the work, backed with real-time experiments under laboratory conditions. The robots efficiently achieved the goals by tracing an optimal path without any collision. Trajectory length and time spent during navigation are recorded, and a good agreement between the results is observed. The proposed technique is compared against existing research techniques, and an improvement of 14.26% is noted in terms of path length.

Keywords

autonomous robotcontrolpath planningfuzzy logic
Type
Research Article
Information
Robotica , Volume 40 , Issue 11 , November 2022 , pp. 3952 - 3975
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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