Guidance Trajectory

Guidance trajectory research focuses on designing optimal paths for vehicles, from spacecraft to drones and even robotic surgical tools, to reach their destinations efficiently and accurately. Current efforts concentrate on improving trajectory precision and robustness using techniques like model predictive control, reinforcement learning (including deep reinforcement learning and evolutionary algorithms), and visual servoing, often incorporating advanced sensor data like eye-tracking or force feedback. These advancements are crucial for enhancing the safety and performance of autonomous systems across diverse applications, ranging from autonomous driving and space exploration to medical robotics and defense systems.