Research on collaborate optimization of unmanned vehicles based on improved RRT*-APF algorithm

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The improved RRT*-APF algorithm produces faster search speeds during path planning for unmanned vehicles, with smoother paths.
Key metrics reflect significant enhancements over traditional algorithms, showcasing reduced path length and exploration time.
Analysis employed an evaluation function based on various performance metrics collected during real robot experiments.
Overall, the findings suggest that implementing the RRT*-APF algorithm can optimize navigation in complex environments.

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Observational analysis demonstrates improved path planning for unmanned vehicles, highlighting enhanced evaluation functions and performance metrics.

Xiao et al. (2025) studied this question.

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Observational analysis demonstrates improved path planning for unmanned vehicles, highlighting enhanced evaluation functions and performance metrics.