Visually - Based Human - Machine - Interaction ina Neural Architecture

نویسندگان

  • H. - J. Boehme
  • A. Brakensiek
  • U. - D. Braumann
  • M. Krabbes
چکیده

The article presents a neural architecture for gesture-based interaction between a mobile robot and its user. One of the main goals of our research is the greatest possible robustness of the intelligent interface under highly varying environmental conditions. After a short introduction of our mobile robot, a discussion of a reliable operation scenario and the motivation for a gesture-based dialogue in section 1, in section 2 we consider related approaches from the literature. Section 3 gives an overview over the whole neural architecture and outlines what we want, not taking into account the current implementation state. What we currently can is described in section 4.

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تاریخ انتشار 1997