We present a model-based object recognition metric integrated with the control system of a mobile robot. The metric draws on the information-theoretic framework of string processing. Object models and images are viewed as sequences of binary strings whose local pairwise similarities contribute to global matches. We present and analyze the results of evaluating the metric on several trash collec...
