Smooth Path

Smooth path planning focuses on generating continuous, curvature-constrained trajectories for autonomous systems, optimizing for factors like speed, safety, and computational efficiency. Current research emphasizes developing algorithms that directly generate smooth paths, avoiding post-processing steps, and incorporating constraints like bounded inputs and limited workspace. These advancements are crucial for applications ranging from robotics and unmanned aerial vehicles navigating complex environments to accelerating rendering in computer graphics and improving graph neural network performance on heterophilous data. The resulting improvements in efficiency and robustness have significant implications across various fields.