We propose a method for adapting the behavior of a mobile robot
according to the activities of the people in its surrounding. Our
approach uses learned motion patterns of persons. Whenever the robot
detects a person it computes a probabilistic estimate about which
motion pattern the person might be engaged in. During path planning
it then uses this belief to improve its navigation behavior. In
different practical experiments carried out on a real robot we
demonstrate that our approach allows a robot to quickly adapt its
navigation plans according to the activities of the persons in its
Adapting Navigation Strategies Using Motions Patterns of People.
M. Bennewitz, W. Burgard and S. Thrun. In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2003.