We present a model­based object recognition metric inte­ grated with the control system of a mobile robot. The met­ ric draws on the information­theoretic framework of string processing. Object models and images are viewed as se­ quences of binary strings whose local pairwise similarities contribute to global matches. We present and analyze the results of evaluating the metric on several trash collection tasks.