Data Fusion Algorithms for Collaborative Robotic Exploration

Abstract

In this article, we will study the problem of efficient data fusion in an ad hoc network of mobile sensors (“robots”) using belief propagation (BP) on a graphical model similar to those used in turbo-style decoding. We also devise a new metric for evaluating the performance of general inference algorithms, including BP, that return “soft ” estimates. I.