Route planning for a mobile robot in 3d space based on an algorithm probabilistic roadmap

Yevsieiev, V.; Maksymova, S.; Amer Abu-Jassar

Публікація:
Route planning for a mobile robot in 3d space based on an algorithm probabilistic roadmap

dc.contributor.author	Yevsieiev, V.
dc.contributor.author	Maksymova, S.
dc.contributor.author	Amer Abu-Jassar
dc.date.accessioned	2024-05-11T22:14:40Z
dc.date.available	2024-05-11T22:14:40Z
dc.date.issued	2024
dc.description.abstract	This article discusses route planning for a mobile robot in three-dimensional space using the Probabilistic Roadmap (PRM) algorithm. The mathematical apparatus of PRM allows you to build a state graph for the robot’s movement space, taking into account obstacles and environmental features. The developed Python program includes an implementation of the PRM algorithm to find the optimal path in 3D space. Experiments on route generation in various environments were conducted to demonstrate the effectiveness and accuracy of the proposed approach. The results obtained confirm the applicability of the PRM algorithm for route planning of mobile robots in complex 3D environments.
dc.identifier.citation	Yevsieiev V. Route planning for a mobile robot in 3d space based on an algorithm probabilistic roadmap / V. Yevsieiev, S. Maksymova, Amer Abu-Jassar // Journal of Universal Science Research. – 2024. – Vol. 2(4). – P. 22-33.
dc.identifier.issn	2181-4570
dc.identifier.uri	https://openarchive.nure.ua/handle/document/26247
dc.language.iso	en
dc.publisher	Journal of Universal Science Research
dc.subject	Industry 5.0
dc.subject	Mobile Robots
dc.subject	Probabilistic Roadmap (PRM) algorithm
dc.title	Route planning for a mobile robot in 3d space based on an algorithm probabilistic roadmap
dc.type	Article
dspace.entity.type	Publication