Self Contained Relative Localization with a Low-Cost Multi-Robot System

Ian Miller, Jon Wallace

A key limitation of current multi-robot systems is a lack of relative localization, particularly in environments without GPS or motion capture systems. This article presents a centralized method for relatively localizing a 2D swarm using sensors and beacons on the robots themselves. The UKF-based algorithm as well as the requisite novel and cost-effective sensing hardware are discussed. Comparisons with a motion capture system show that the method is capable of localization with errors on the order of the size of the robots.

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