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URN: urn:nbn:de:swb:90-310924

Interactive Learning of Probabilistic Decision Making by Service Robots with Multiple Skill Domains

Schmidt-Rohr, Sven R.

This thesis makes a contribution to autonomous service robots, centered around two aspects. The first is modeling decision making in the face of incomplete information on top of diverse basic skills of a service robot. Second, based on such a model, it is investigated, how to transfer complex decision-making knowledge into the system. Interactive learning, naturally from both demonstrations of human teachers and in interaction with objects, yields decision-making models applicable by the robot.

Zugehörige Institution(en) am KIT Institut für Anthropomatik (IFA)
Publikationstyp Hochschulschrift
Jahr 2012
Sprache Englisch
Identifikator KITopen ID: 1000031092
Verlag Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Anthropomatik (IFA)
Prüfungsdaten 06.07.2012
Referent/Betreuer Prof. R. Dillmann
Schlagworte Autonomous service robots, Programming by Demonstration, Probabilistic decision making, Machine learning
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