Trajectory Design

Trajectory design focuses on optimizing the path of a moving entity, whether a spacecraft, robot, or unmanned aerial vehicle, to achieve specific objectives like minimizing fuel consumption, maximizing efficiency, or ensuring safety. Current research emphasizes developing computationally efficient and robust algorithms, often employing machine learning techniques such as reinforcement learning, diffusion models, and neural networks, to handle complex constraints and high-dimensional search spaces. These advancements are crucial for various applications, including autonomous navigation, robotics, and aerospace engineering, enabling more efficient and reliable operation in diverse and challenging environments.