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September 10, 2025ElectronicsOpen Access

RRT-GPMP2: A Motion Planner for Mobile Robots in Complex Maze Environments

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The motion planner effectively navigates complex maze environments, significantly enhancing robot automation capabilities.
Tests in high-fidelity maritime simulations demonstrated the efficiency of the rapidly exploring random tree-based Gaussian process motion planner.
Combining trajectory optimisation and sampling-based methods, the planner offers a robust solution for diverse environments.
The results indicate that the motion planning solution may enable better performance in real-world applications for mobile robots.

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Novel motion planner enhances navigation in complex maze environments for mobile robots, suggesting improved automation.

Meng et al. (2025) studied this question.

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