Dubins Path

Dubins paths represent the shortest curves connecting two points with specified orientations, subject to a minimum turning radius constraint, a fundamental problem in robotics and motion planning. Current research focuses on extending Dubins paths to three dimensions, optimizing path generation for multiple vehicles or targets (often using neural networks or improved heuristic algorithms like LinKernighan), and improving path smoothness through techniques like clothoid interpolation. These advancements are crucial for enhancing the efficiency and feasibility of autonomous navigation in various applications, including autonomous mobile robots, unmanned aerial vehicles, and underwater vehicles.