Decentralised Coordination of Unmanned Aerial Vehicles for Target Search using the Max-Sum Algorithm
Delle Fave, Francesco Maria, Xu, Zhe, Rogers, Alex and Jennings, Nicholas R. (2010) Decentralised Coordination of Unmanned Aerial Vehicles for Target Search using the Max-Sum Algorithm. In, AAMAS 2010 Workshop on Agents in Real Time and Environment , Toronto , Canada, 10 - 14 May 2010. , 35-44.
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This paper considers the coordination of a team of Unmanned Aerial Vehicles (UAVs) that are deployed to search for a moving target within a continuous space. We present an online and decentralised coordination mechanism, based on the max-sum algorithm, to address this problem. In doing so, we introduce a novel coordination technique to the field of robotic search, and we extend the max-sum algorithm beyond the much simpler coordination problems to which it has been applied to date. Within a simulation environment, we benchmarked our max-sum algorithm against three other existing approaches for coordinating UAVs. The results showed that coordination with the max sum algorithm out-performed a best response algorithm, which represents the state of the art in the coordination of UAVs for search, by up to 26%. The results further showed that the max-sum algorithm out-performed an implicitly coordinated approach, where the coordination arises from the agents making decisions based on a common belief, by up to 34% and finally a non-coordinated approach by up to 68%.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||Event Dates: 10 - 14 May|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
|Date Deposited:||08 Apr 2010 16:02|
|Last Modified:||27 Mar 2014 20:15|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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