Following and interpreting narrated guided tours

We describe a robotic tour-taking capability enabling a robot to acquire local knowledge of a human-occupied environment. A tour-taking robot autonomously follows a human guide through an environment, interpreting the guide´s spoken utterances and the shared spatiotemporal context in order to acquire a spatially segmented and semantically labeled metrical-topological representation of the environment. The described tour-taking capability enables scalable deployment of mobile robots into human-occupied environments, and natural human-robot interaction for commanded mobility. Our primary contributions are an efficient, socially acceptable autonomous tour-following behavior and a tour interpretation algorithm that partitions a map into spaces labeled according to the guide´s utterances. The tour-taking behavior is demonstrated in a multi-floor office building and evaluated by assessing the comfort of the tour guides, and by comparing the robot´s map partitions to those produced by humans.