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Automatic stimulation of experiments and learning based on prediction failure recognition

  • In this paper we focus on the task of automatically and autonomously initiating experimentation and learning based on the recognition of prediction failure. We present a mechanism that utilizes conceptual knowledge to predict the outcome of robot actions, observes their execution and indicates when discrepancies occur. We show how this mechanism was applied to a robot that learns using the paradigm of learning by experimentation, and present first results obtained from this implementation.

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Document Type:Conference Object
Author:Alex Juarez, Björn Kahl, Timo Henne, Erwin Prassler
Parent Title (English):IEEE International Conference on Robotics and Automation (ICRA '09). Kobe, Japan, 12-17 May 2009
First Page:3607
Last Page:3612
Publication year:2009
Departments, institutes and facilities:Fachbereich Informatik
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2016/06/23