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Qualitative and quantitative representations of space in general and motion in particular have their typical fields of application which are unified in an autonomously moving robot interacting with human beings. Therefore it is necessary to make some considerations on both approaches when dealing with such a robot. This paper presents quantitative and(More)
This work is about the integration of the skills robot control, landmark recognition, and qualitative reasoning in a single autonomous mobile system. It deals with the transfer of coarse qualitative route descriptions usually given by humans into the domain of mobile robot navigation. An approach is proposed that enables the Bremen Autonomous Wheelchair to(More)
The considerable high quality of Wikipedia articles is often accredited to the large number of users who contribute to Wikipedia's encyclopedia articles, who watch articles and correct errors immediately. In this paper, we are in particular interested in a certain type of Wikipedia articles, namely, the featured articles - articles marked by a community's(More)
Documents are recommended by computer-based systems normally according to their prominence in the document reference network. Based on the requirements identified in a concrete use case for recommending scientific publications, the paper claims that merely measuring prominence is insufficient for high quality recommendations. We propose to use information(More)
Since humans usually prefer to communicate in qualitative and not in quantitative categories, qualitative spatial representations are of great importance for user interfaces of systems that involve spatial tasks. Abstraction is the key for the generation of qualitative representations from observed data. This paper deals with the conversion of motion data(More)
Focusing on observable message signs and referencing structures, communication processes can be described and analysed as message reference networks which are characterized by dynamic pattern evolution. Computational simulation provides a way of obtaining insights into the factors driving such processes. Our paper describes a theoretical framework for(More)
Mobile intention recognition is the problem of inferring an agent's intentions from the spatio-temporal behavior she shows. We present a framework for mobile intention recognition that covers all levels, from low-level position data to high-level intentions, with the detailed structure of the motion track as an intermediate level. Our framework is new in(More)