Path planning control in known environments using turning points

The path planning problem for a wheeled mobile robot (WMR) involves determining a collision-free path from a starting point to a target destination while optimizing a specific fitness function, such as minimizing distance, cost, or both, depending on the scenario. This research introduces a novel method for generating smooth paths for mobile robots in user-defined two-dimensional environments with stationary obstacles. The proposed method addresses the issue of local minima by utilizing free segments and path-planning turning points. The approach evaluates both path length and path safety as key objectives. Simulation results demonstrate that the proposed method effectively identifies optimal paths and validates the reliability of the control strategy for mobile robot navigation.

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Publication Details

Journal
International Journal of ADVANCED AND APPLIED SCIENCES
Published
2024-12-01
DOI
https://doi.org/10.21833/ijaas.2024.12.015
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Path planning control in known environments using turning points

Farah Kamil, Areej Ghazi Abdulshaheed
International Journal of ADVANCED AND APPLIED SCIENCES
Robotic Path Planning Algorithms
article

Path planning control in known environments using turning points

Farah Kamil, Areej Ghazi Abdulshaheed
article en

Abstract

The path planning problem for a wheeled mobile robot (WMR) involves determining a collision-free path from a starting point to a target destination while optimizing a specific fitness function, such as minimizing distance, cost, or both, depending on the scenario. This research introduces a novel method for generating smooth paths for mobile robots in user-defined two-dimensional environments with stationary obstacles. The proposed method addresses the issue of local minima by utilizing free segments and path-planning turning points. The approach evaluates both path length and path safety as key objectives. Simulation results demonstrate that the proposed method effectively identifies optimal paths and validates the reliability of the control strategy for mobile robot navigation.

International Journal of ADVANCED AND APPLIED SCIENCESVol. 11(12)
Al-Furat Al-Awsat Technical University (IQ)
Sustainable cities and communities
Openalex Percentile: Top 78%
Robotic Path Planning Algorithms
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