Collaborative Navigation

Collaborative navigation focuses on enabling multiple agents, including robots and humans, to efficiently and safely navigate shared spaces, often with the goal of achieving a common objective. Current research emphasizes developing robust algorithms, such as those incorporating intention prediction, user preference fields, and hierarchical planning, to handle complex environments and diverse agent behaviors, often utilizing model predictive control and reinforcement learning frameworks. This field is crucial for advancing assistive robotics, improving multi-robot coordination in logistics and exploration, and creating more intuitive and effective human-robot interaction in various applications.