A Distributed Spanning Tree Method for Extracting Systems and Environmental Information from a Network of Mobile Robots

A multi-robot system, like a robot formation, contains information that is distributed throughout the system. As the collective increases in numbers or explores distant or difficult areas, obtaining collective situational awareness becomes critical. We propose a method for extracting system and environmental information distributed over a collective of robots.