Partially decentralized self localization for a herd of mobile robots with an external observer

Self-localization is one of the most important problems for autonomous mobile robots. In this paper, the authors propose a novel way of localization by a herd of mobile robots and an external observer. In their method, the positional information is firstly obtained by the observer, then processed by each robot locally for itself. The authors examine its basic validity by computer simulations.