ROUTE PLANNING FOR A MOBILE ROBOT IN 3D SPACE BASED ON AN ALGORITHM PROBABILISTIC ROADMAP
Vol. 2 No. 4 (2024), Articles
Vol. 2 No. 4 (2024)

ROUTE PLANNING FOR A MOBILE ROBOT IN 3D SPACE BASED ON AN ALGORITHM PROBABILISTIC ROADMAP

Articles
Published 2024-04-04
Vladyslav Yevsieiev
Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
Svitlana Maksymova
Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
Amer Abu-Jassar
Faculty of Information Technology, Department of Computer Science, Ajloun National University, Ajloun, Jordan
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Keywords

Industry 5.0, Сomputer Vision Systems, Mobile Robots, Work zone, Manufacturing Innovation, Industrial Innovation

How to Cite

Vladyslav Yevsieiev, Svitlana Maksymova, & Amer Abu-Jassar. (2024). ROUTE PLANNING FOR A MOBILE ROBOT IN 3D SPACE BASED ON AN ALGORITHM PROBABILISTIC ROADMAP. Journal of Universal Science Research, 2(4), 22–33. Retrieved from https://universalpublishings.com/index.php/jusr/article/view/5006
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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.

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