Synergetic localization for groups of mobile robots

Abstract
In this paper we present a new approach to the problemof simultaneously localizing a group of mobile robotscapable of sensing each other. Each of the robots collectssensor data regarding its own motion and sharesthis information with the rest of the team during theupdate cycles. A single estimator, in the form of aKalman filter, processes the available positioning informationfrom all the members of the team and producesa pose estimate for each of them. The equations forthis centralized ...

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