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Specialization as an optimal strategy under varying external conditions

M. Ani Hsieh, Ádám Halász, Ekin D. Cubuk, Sam Schoenholz, Alcherio Martinoli

发表年份
2009
引用次数
18

摘要

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.

关键词

Swarm behaviourRobotComputer scienceSet (abstract data type)Swarm roboticsConstant (computer programming)Mathematical optimizationProductivitySwarm intelligenceParticle swarm optimization

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