Effective Task Allocation for Evolving Multi-robot Teams in Dangerous Environments

@article{Gunn2013EffectiveTA,
  title={Effective Task Allocation for Evolving Multi-robot Teams in Dangerous Environments},
  author={Tyler J. Gunn and John Anderson},
  journal={2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)},
  year={2013},
  volume={2},
  pages={231-238}
}
This paper describes the task management elements of a framework for coordinating a changing collection of heterogeneous robots operating in complex and dynamic environments such as disaster zones. Our framework allows a team to discover and distribute tasks among its members, in a distributed fashion, where the structure of the team is under regular change. Robots may become lost or fail at any time, and new equipment may arrive at any time. We evaluate our framework through an example… CONTINUE READING

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Cooperation of heterogeneous, autonomous robots: A case study of humanoid and wheeled robots

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems • 2007
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