Minimum Time Trajectory

Minimum-time trajectory optimization focuses on finding the fastest path between two points for a given system, considering constraints like dynamics, obstacles, and actuator limits. Current research emphasizes efficient algorithms, including those based on neural networks (e.g., transformers) and pseudospectral methods, to solve these often computationally expensive optimization problems, particularly in complex environments. These advancements are crucial for improving performance in diverse applications such as autonomous vehicle navigation, drone racing, and robotic manipulation, leading to faster, safer, and more efficient systems.