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Mixed-Initiative in Human Augmented Mapping

TitleMixed-Initiative in Human Augmented Mapping
Publication TypeConference Paper
Year of Publication2009
AuthorsPeltason, J., F. Siepmann, T. P. Spexard, B. Wrede, M. Hanheide, and E. A. Topp
Conference NameInternational Conference on Robotics and Automation
Conference Start Date14/05/2009
PublisherIEEE
Conference LocationKobe, Japan
AbstractIn 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 acquisition process. We propose the integration of an environment representation approach into our interactive learning framework. The environment representation and mapping system supports both user driven and data driven strategies for the acquisition of spatial information, so that a mixed initiative strategy for the learning process is realised. We evaluate our system with test runs according to the scenario of a guided tour, extending the area of operation from structured laboratory environment to less predictable domestic settings.
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mixed-initiative-in-HAM.pdf1.3 MB

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