Collaborative Information Sensemaking for Multi-Robot Search and Rescue

Vladimir Zadorozhny, Pei-Ju Lee, Michael Lewis

ABSTRACT

In this paper, we consider novel information sensemaking methods for search and rescue operations that combine principles of information fusion and collective intelligence in scalable solutions. We will elaborate on several approaches that originated in different areas of information integration, sensor data management, and multi-robot urban search and rescue missions.  

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