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Forschungsprojekte
Projektvollmacht
Lehre
Forschung
Organisation
Lernen durch Experimentieren (KE 2011 offen)
01.04.2006 - 30.09.2009
Forschungsförderungsprojekt
The overall objective of the proposed project is to develop an embodied cognitive system, which is able to conduct experiments in the real world with the purpose of gaining new insights about the world and the objects therein and to develop and improve its own cognitive skills and overall per-formance. It is obvious that for the ability to conduct experiments in the real world, embodiment is a fundamental prerequisite. Expected results of the project are basic models, techniques, and system solutions, enabling an em-bodied agent to autonomously design and conduct experiments in a given context - stimulating the agent's desire to gather new knowledge - and to extract new insights from the results of the experi-ment. XPERO proposes to approach this problem by developing a methodology for learning by experimen-tation. Enabling an embodied agent, in the sequel called robot, to design and conduct experiments in a natural real world setting and to extract new insights is more than just adding another feature to a technical system. The ability to conduct experiments in the real world and extract new knowledge and insights pushes open the door to a new quality of embodied systems namely to potentially unlimited autonomous learning. This ability enables the robot to grow in an unlimited fashion its cognitive ca-pacity and its performance to accomplish meaningful tasks in the real world. Limitations are only set by the surrounding world and its own physical capabilities, and not by availability of a programmer, teacher or learning material. We plan to achieve this objective by performing research and development in the following areas Stimulation of Experiment, Design and Execution of Experiments, Observation and Evaluation of Experiments, Representing Knowledge and Gaining Insights, Innate Knowledge and Cognitive Boot-strap, and Engineering the Experimental Loop. By integrating the results of the research in these ar-eas in demonstrations of increasing complexity and performing regular dissemination activities, we will contribute to expand the state of the art of machine learning and embodied cognitive systems and disseminate these key technologies to European Industries interested in the development of intelligent systems.
Personen
Projektleiter_in
Ao.Univ.Prof. Dipl.-Ing. Dr.techn. Markus Vincze
(E376)
Projektmitarbeiter_innen
Projektass. Dipl.-Ing. Dr.techn. Johann Prankl
(E376)
Peter Gemeiner
(E376)
Dipl.-Ing. Dr.techn. Andreas Richtsfeld
(E376)
Dr.techn. Matthias Schlemmer
(E376)
Univ.Ass. Dipl.-Ing. Dr.techn. Markus Bader
(E376)
Dipl.-Ing. Dr.techn. Thomas Mörwald
(E376)
Institut
E376 - Institut für Automatisierungs- und Regelungstechnik
Förderungsmittel
European Commission (EU)
Forschungsschwerpunkte
Information and Communication Technology
Schlagwörter
Deutsch
Englisch
Learning
Lernen
Experimentation
Experimentieren
Knowledge acquisition
Wissenserwerb
Lernende Roboter
Learning robot
Strukturerkennung
Structure detection
Externe Partner_innen
Fraunhofer Gesellschaft zur Förderung der angewandten Forschung e.V.
Università degli Studi di Verona
University of Lubljana
Fachhochschule Bonn-Rhein-Sieg
Sts. Cyril and Methodius University