Industry 4.0 Concepts in the Machine-Tool Industry

Грибков, А. А.; Morozkin, M. S.; Kuptsov, Vladimir; Pivkin, Petr M.; Zelenskii, A. A.

doi:10.3103/s1068798x2107011x

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2024

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Cited by 8 publications

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“…A current rapid progress in robotics drives robotic systems into many areas of a human life including autonomous driving [1], manufacturing [2], search and rescue activities [3], agriculture [4], [5], and medical services [6]. In modern industrial applications of Industry 4.0 [7] a human-robot interaction in a shared workspace is emphasized [8], [9].…”

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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