We present the hybrid reciprocal velocity obstacle for collision-free and oscillation-free navigation of multiple mobile robots or virtual agents. Each robot senses its surroundings and acts independently without central coordination or communication with other robots. Our approach uses both the current position and the velocity of other robots to compute their future trajectories in order to avoid collisions. Moreover, our approach is reciprocal and avoids oscillations by explicitly taking into account that the other robots also sense their surroundings and change their trajectories accordingly. We apply hybrid reciprocal velocity obstacles to iRobot Create mobile robots and demonstrate direct, collision-free, and oscillation-free navigation.
Collision avoidance, mobile robots, motion planning, multi-robot systems, navigation.
HRVO Library™ is a C++ library offering the general functionality of the hybrid reciprocal velocity obstacle approach. It is freely available for educational, research, and non-profit purposes. For commercial licensing contact the Office of Technology Development.
ZIP Archive (Beta, 0.1 MB)
QuickTime Movie (8.4 MB), YouTube Video
This work was supported by ARO under Contract DAAD19-02-1-0390 and Contract W911NF-04-1-0088, by NSF under Award 0400134, Award 0429583, and Award 0404088, by DARPA and RDECOM under Contract N61339-04-C-0043, and by Intel.