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Neural networks can guide robot path planning to find better paths *faster* by predicting convex regions of interest, outperforming prior neural and classical methods.
AI-guided sampling slashes path length by 14% and boosts trajectory smoothness by up to 75% in robotic navigation, outperforming classical RRT*.