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Volltext Schmidt-Rohr_Sven.pdf1.pdf (60,5 MB)
URN (f├╝r Zitat) http://nbn-resolving.org/urn:nbn:de:swb:90-310924
Titel Interactive Learning of Probabilistic Decision Making by Service Robots with Multiple Skill Domains
Autor Schmidt-Rohr, Sven R.
Institution Institut f├╝r Anthropomatik (IFA)
Dokumenttyp Buch
Verlag Karlsruhe
Jahr 2012
Hochschulschrift Dissertation
Fakult├Ąt f├╝r Informatik (INFORMATIK)
Institut f├╝r Anthropomatik (IFA)
Pr├╝fungsdaten: 06.07.2012
Referent/Betreuer: Prof. R. Dillmann
Abstract 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.