Using teams of autonomous, heterogeneous robots to operate in dangerous environments has a number of advantages. Among these are cost-effectiveness and the ability to spread out skills among team members. The nature of operating in dangerous domains means that the risk of loss is higher---teams will often lose members and must acquire new ones. In this work, I explore various recruitment strategies for the purpose of improving an existing framework for team management. My additions allow robots to more actively acquire new teams members and assign tasks among other robots on a team without the intervention of a team leader. I evaluate this framework in simulated post-disaster environments where the risk of robot loss is high and communications are often unreliable. My results show that in many scenarios, active recruitment strategies provide significant performance benefits. / February 2017
| Identifer | oai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/31917 |
| Date | 01 November 2016 |
| Creators | Nagy, Geoff |
| Contributors | Anderson, John (Computer Science), McNeill, Dean (Electrical and Computer Engineering) Scuse, David (Computer Science) |
| Source Sets | University of Manitoba Canada |
| Detected Language | English |
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