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  4. Specialization as an Optimal Strategy Under Varying External Conditions
 
conference paper

Specialization as an Optimal Strategy Under Varying External Conditions

Hsieh, M. Ani
•
Halasz, Adam
•
Cubuk, Ekin Dogus
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2009
Proc. of the 2009 IEEE Int. Conf. on Robotics and Automation
IEEE Int. Conf. on Robotics and Automation

We present an investigation of specialization when considering the execution of collaborative tasks by a robot swarm. Specifically, we consider the stick-pulling problem first proposed by Martinoli et al. [1], [2] and develop a macroscopic analytical model for the swarm executing a set of tasks that require the collaboration of two robots. We show, for constant external conditions, maximum productivity can be achieved by a single species swarm with carefully chosen operational parameters. While the same applies for a two species swarm, we show how specialization is a strategy best employed for changing external conditions.

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