Towards Total Coverage in Autonomous Exploration for UGV in 2.5D Dense Clutter Environment

Denisov, Evgeni; Sagitov, Artur; Yakovlev, Konstantin; Su, Kuo-Lan; Magid, Evgeni

doi:10.5220/0007923304090416

Cited by 3 publications

(1 citation statement)

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“…Unmanned Aerial Vehicles (UAVs) provide an efficient solution for automating coverage and monitoring of large areas. UAVs are not constrained by obstacles on the ground and can quickly navigate through hard-to-reach areas while reducing human labor costs [16]. The use of UAVs for area coverage can be a key element in solving complex problems such as security [17], mapping [18], forest fire monitoring [19], search operations [20].…”

Section: Introductionmentioning

confidence: 99%

Potential of genetic algorithms in multi-UAV coverage problem

Faizullin,

Tsoy,

Edgar A.

et al. 2024

Proceedings of International Conference on Artificial Life and Robotics

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For a rapid area coverage multiple UAVs are often used simultaneously. However, a path planning for a UAVs group during an area coverage task is computationally challenging. In practice, heuristic algorithms are applied to solve this problem. This paper overviews approaches to an area coverage problem with a group of UAVs using genetic algorithms. The article explores modifications that may be useful for a genetic algorithm for solving the coverage problem as well as representation methods for chromosomes that reflect a path of multi-UAV. Additionally, UAV group collision avoidance strategies during area coverage are considered.

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