Human Trajectory

Human trajectory research focuses on understanding, predicting, and generating the movement patterns of individuals and groups, primarily to improve safety and efficiency in human-robot interaction and autonomous systems. Current research emphasizes developing sophisticated models, including neural networks (like transformers and diffusion models), and employing techniques such as reinforcement learning, optimal transport, and game theory to achieve accurate and socially acceptable trajectory predictions. This field is crucial for advancing robotics, autonomous driving, crowd management, and urban planning by enabling safer and more efficient navigation in shared spaces.