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2021 | OriginalPaper | Buchkapitel

Mobile Robot Path Planning Approaches: Recent Developments

verfasst von : Raashid Manzoor, Neerendra Kumar

Erschienen in: Innovations in Information and Communication Technologies (IICT-2020)

Verlag: Springer International Publishing

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Abstract

Robotics is the current growing technology with various applications in many fields practiced so far. The bit-by-bit strategies are assembled to know the growth of way arranging systems in different environmental situations and to spot the research gap. It reviews the most important contributions to the mobile robot path planning field from classical approach to heuristic approaches. The classical approaches include cell decomposition method, road map method, artificial potential field method; heuristic approaches such as genetic algorithm (GA), neural network (NN), ant colony optimization (ACO), and particle swarm optimization (PSO) are studied. Because of the numerous computational problems, heuristic methods outperformed the classical methods and gained great reputation. The navigation of static and dynamic surroundings is also examined and it has been remarked that the heuristic approaches have executed efficiently in all aspects when differentiated with classical methods. The paper ended up with tabular knowledge, and graphs analyzed the regularity of separate navigational policies which can be utilized for particular implementation during robot navigation.

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Titel: Mobile Robot Path Planning Approaches: Recent Developments
verfasst von: Raashid Manzoor
Neerendra Kumar
Verlag: Springer International Publishing
Buch: Innovations in Information and Communication Technologies (IICT-2020)
Print ISBN: 978-3-030-66217-2

Electronic ISBN: 978-3-030-66218-9

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-66218-9_35

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