Adding mobility to sensor networks potentially allows them to spatially reconfigure in order adapt to the dynamics of their environment. Such sensor networks with robotic nodes are an instance of a large-scale distributed control problem. We have spent the last several years developing algorithms for distributed sensing (e.g. mapping), and state estimation (e.g. localization) using such networks. I will discuss a variety of such algorithms, with emphasis on those inspired by Physical
models.
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