Fevgas, Georgios, Lagkas, Thomas, Argyriou, Vasileios and Sarigiannidis, Panagiotis (2022) Coverage path planning methods focusing on energy efficient and cooperative strategies for unmanned aerial vehicles. Sensors, 22(3), p. 1235. ISSN (online) 1424-8220

Abstract

The coverage path planning (CPP) algorithms aim to cover the total area of interest with minimum overlapping. The goal of the CPP algorithms is to minimize the total covering path and execution time. Significant research has been done in robotics, particularly for multi-unmanned unmanned aerial vehicles (UAVs) cooperation and energy efficiency in CPP problems. This paper presents a review of the early-stage CPP methods in the robotics field. Furthermore, we discuss multi-UAV CPP strategies and focus on energy-saving CPP algorithms. Likewise, we aim to present a comparison between energy efficient CPP algorithms and directions for future research.

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Official URL:	https://doi.org/10.3390/s22031235
Item Type:	Article
Uncontrolled Keywords:	coverage path planning, unmanned aerial vehicle, cell decomposition, decomposition methods, energy-aware approaches, energy optimal path, multi-robot systems, multi-UAV
Research Area:	Research Areas > Computer science and informatics
Faculty, School or Research Centre:	Faculty of Science, Engineering and Computing Faculty of Science, Engineering and Computing > School of Computer Science and Mathematics
SWORD Depositor:	Mr Jisc Router
Date Deposited:	08 Feb 2022 10:27
Last Modified:	08 Feb 2022 10:27
DOI:	https://doi.org/10.3390/s22031235
URI:	https://eprints.kingston.ac.uk/id/eprint/51119

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