Neural RRT* and Neural Informed RRT* yield up to 14% shorter paths and 55-75% smoother trajectories than standard RRT* in simulated obstacle environments, with Neural Informed RRT* performing best overall.
APF-RRT*: An efficient sampling-based path planning method with the guidance of artificial potential field,
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Performance Comparison of Classical and Neural Sampling Algorithms for Robotic Navigation
Neural RRT* and Neural Informed RRT* yield up to 14% shorter paths and 55-75% smoother trajectories than standard RRT* in simulated obstacle environments, with Neural Informed RRT* performing best overall.