Trajectory Planning Algorithm

Trajectory planning algorithms generate optimal paths for robots and autonomous vehicles, considering factors like speed, acceleration, and jerk while ensuring feasibility and safety. Current research emphasizes real-time performance in dynamic environments (e.g., urban traffic, maritime search and rescue), often employing nonlinear optimization or dynamic programming techniques, including methods based on spatial rather than temporal formulations. These advancements are crucial for enabling safe and efficient operation of autonomous systems across various applications, from industrial robotics to self-driving cars, and are increasingly incorporating ethical considerations into decision-making processes.