Abstract Consider a mobile robot exploring an office building with the aim of observing as much human activity possible over several days. It must learn where and when people are to be found, count observed activities, revisit popular places at right time. In this paper we present series Bayesian estimators for levels that improve on simple counting. We then show how these can used drive effici...