We describe distributed estimation algorithms that allow robots in a communication network to maintain estimates of summary statistics describing the shape of the swarm. We show that these estimators, combined with motion controllers implemented on each robot, result in the swarm formation statistics being driven to desired values in the presence of a changing network topology and the addition and deletion of robots
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Freeman et al. (2006) studied this question.
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