November 21, 2025ElectronicsOpen Access

Enhanced RRT* Algorithm for Efficient Path Planning in Robotics and Autonomous Driving

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Initial solution time improved by up to 55%, enhancing path planning efficiency while addressing key issues.
Proposed A-RRT* algorithm adapted an A* path to refine the sampling region for quicker convergence.
Incorporation of a goal bias strategy facilitated more effective node generation and path optimization.
Improvements point to the potential for broader applications in robotics and autonomous driving, highlighting algorithmic advancements.

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This analysis demonstrates improved convergence in path planning, suggesting that the A-RRT* algorithm reduces computational complexity effectively.

Chen et al. (2025) studied this question.

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This analysis demonstrates improved convergence in path planning, suggesting that the A-RRT* algorithm reduces computational complexity effectively.