Localization and Tracking in Robot Networks

Abstract

We are interested in the real time pose estimation of a group of networked mobile robots based on exteroceptive information from their vision systems. Additionally, we are also interested in simultaneously tracking a rigid unknown object. We present a localization and object tracking approach based on statistical operators and simple graph searching algorithms. The approach was implemented in our team of five car like robots equipped with omni-directional video cameras and IEEE 802.11b wireless networking. 1