Trajectory Generator

Trajectory generators are algorithms designed to produce optimal paths for robots or other agents, considering factors like constraints, efficiency, and safety. Recent research heavily utilizes diffusion models, often combined with other techniques like reinforcement learning and variational autoencoders, to generate diverse and realistic trajectories, addressing challenges such as long-horizon planning and adaptation to dynamic environments. These advancements are crucial for improving autonomous navigation in robotics, autonomous driving, and wildlife movement modeling, enabling more robust and efficient systems in various applications.