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This paper presents a multiple target tracking approach for following and passing persons in the context of human-robot interaction. The general purpose for the approach is the use in human augmented mapping. This concept is presented and it is described how navigation and person following are subsumed under it. Results from experiments under test(More)
Co-presence and embodied interaction are two fundamental characteristics of the command and control situation for service robots. This paper presents a study of spatial distances and orientation of a robot with respect to a human user in an experimental setting. Relevant concepts of spatiality from social interaction studies are introduced and related to(More)
An annotated data set is presented meant to help researchers in developing, evaluating, and comparing various approaches in robotics for building space representations appropriate for communicating with humans. The data consist of omnidirectional images, laser range scans, sonar readings, and robot odometry. A set of base-level human spatial concepts is(More)
Human interaction with a service robot requires a shared representation of the environment for spoken dialogue and task specification where names used for particular locations are depending on personal preferences. A question is how such human oriented models can be tied to the geometric robotic models needed for precise localisation and navigation. We(More)
Service robots designed for domestic settings need to navigate in an environment that they have to share with their users. Thus, they have to be able to report their current state and whereabouts in a way that is comprehensible for the user. Pure metric maps do not usually correspond to the understanding of the environment a user would provide. Thus, the(More)
In this paper, we present an initial design of an interactive interface for a service robot based on multisensor fusion. We show how the integration of speech, vision and laser range data can be performed using a high level of abstraction. Guided by a number of scenarios commonly used in a service robot framework, the experimental evaluation will show the(More)
In scenarios that require a close collaboration and knowledge transfer between inexperienced users and robots, the “learning by interacting” paradigm goes hand in hand with appropriate representations and learning methods. In this paper we discuss a mixed initiative strategy for robotic learning by interacting with a user in a joint map(More)
This paper describes the development process of a contextualized corpus for research on Human-Robot Communication. The data have been collected in two Wizard-of-Oz user studies performed with 22 and 5 users respectively in a scenario that is called the Home Tour. In this scenario the users show the environment (a single room, or a whole floor) to a robot(More)
Interacting with a domestic service robot implies the existence for a joint environment model for a user and a robot. We present a pilot study that investigates, how humans present a familiar environment to a mobile robot. Results from this study are used to evaluate a generic environment model for a service robot that can be personalised by interaction.