Smooth Path Planning

Smooth path planning focuses on generating collision-free robot trajectories that are also smooth and efficient, minimizing jerky movements and energy consumption. Current research emphasizes methods that directly generate smooth paths, avoiding post-processing steps, often employing techniques like Bézier curve optimization, continuous curvature integration, and hybrid approaches combining swarm optimization with potential fields. These advancements are crucial for improving the safety, efficiency, and robustness of robotic navigation in diverse environments, impacting fields such as autonomous vehicles and drone navigation.