Understanding and anticipating human activity is an important capability for intelligent systems in mobile robotics, autonomous driving, and video surveillance.
Autonomous Driving Robotics
A common mitigation approach is to re-solve the MAPF using the current, delayed AGV positions.
Planning smooth and energy-efficient motions for wheeled mobile robots is a central task for applications ranging from autonomous driving to service and intralogistic robotics.
With growing numbers of intelligent autonomous systems in human environments, the ability of such systems to perceive, understand and anticipate human behavior becomes increasingly important.
We introduce and show preliminary results of a fast randomized method that finds a set of K paths lying in distinct homotopy classes.