Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching
Germany
Tel: +49-89-289-17759
Fax: +49-89-289-17757
Office:
Mail: michael.beetz@in.tum.de
CCRL II:
Tel: +49-89-289-26902
Office: 3002
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Michael Beetz is a professor for Computer Science at the Department of Informatics of the Technische Universität Muenchen and heads the Intelligent Autonomous Systems group. From 2006 to 2011, he was vice coordinator of the German national cluster of excellence CoTeSys (Cognition for Technical Systems) where he is also co-coordinator of the research area “Knowledge and Learning”.
Michael Beetz received his diploma degree in Computer Science with distinction from the University of Kaiserslautern. He received his MSc, MPhil, and PhD degrees from Yale University in 1993, 1994, and 1996 and his Venia Legendi from the University of Bonn in 2000. Michael Beetz was a member of the steering committee of the European network of excellence in AI planning (PLANET) and coordinating the research area ``robot planning''. He is associate editor of the AI Journal. His research interests include plan-based control of robotic agents, knowledge processing and representation for robots, integrated robot learning, and cognitive perception.
@InProceedings{buss07cotesys,
author = {Martin Buss and Michael Beetz and Dirk Wollherr},
title = {{CoTeSys} --- Cognition for Technical Systems},
booktitle = {Proceedings of the 4th COE Workshop on Human
Adaptive Mechatronics (HAM)},
year = {2007},
bib2html_pubtype ={Refereed Workshop Paper},
bib2html_rescat ={unspecified},
bib2html_groups ={IAS},
abstract = { The CoTeSys cluster of excellence investigates
cognition for technical systems such as vehicles,
robots, and factories. Cognitive technical systems
(CTS) are information processing systems equipped
with artificial sensors and actuators, integrated
and embedded into physical systems, and acting in a
physical world. They differ from other technical
systems as they perform cognitive control and have
cognitive capabilities. Cognitive control
orchestrates reflexive and habitual behavior in
accord with longterm intentions. Cognitive
capabilities such as perception, reasoning,
learning, and planning turn technical systems into
systems that ``know what they are doing''. The
cognitive capabilities will result in systems of
higher reliability, flexibility, adaptivity, and
better performance. They will be easier to interact
and cooperate with.}
}