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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.

Upcoming and Recent Events

  • Organizer RGB-D Workshop on 3D Perception in Robotics (read more)
  • Speaker Motion Planning for Physical Robots (read more)
  • Program committee ICRA 2011 workshop: Semantic Perception, Mapping and Exploration (SPME) (read more)
  • Program committee ICRA 2011 Workshop on Mobile Manipulation: Integrating Perception and Manipulation (read more)
  • Organizer CoTeSys-ROS Fall School on Cognition-Enabled Mobile Manipulation (read more)
  • Workshop co-chair at the at the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10) (read more)
  • Robotics Track Chair at the 9th International Conference on Autonomous Agents and Multiagent Systems (read more)
  • Area chair 19th European Conference on Artificial Intelligence - ECAI 2010.
  • Associate editor Artificial Intelligence
  • Coordinator Dagstuhl seminar Probabilistic Methods for Perceiving, Learning and Reasoning about Everyday Activities (read more)
  • Guest editor (together with Alexandra Kirsch) of KI Special Issue Cognition for Technical Systems (Fall 2010)
  • Guest editor for a special IJRR (International Journal of Robotics Research) journal issue on Semantic Perception for Robots in Indoor Environments Radu Rusu, Gary Bradski, Kurt Konolige, and Michael Beetz. The submission deadline is 15th of July. Looking forward to get your contributions!
  • Co-organizer Dagstuhl seminar 2010 Cognition, Control and Learning for Robot Manipulation in Human Environments together with Oliver Brock, Gordon Cheng, and Jan Peters.
  • Co-organizer Dagstuhl seminar 2009 - Cognition, Control and Learning for Robot Manipulation in Human Environments The seminar was held from 16.08.2009 to 21.08.2009 at castle Dagstuhl Germany. The goal of the seminar was to make significant progress towards closing the gap between human and robot manipulation in uncertain environments inhabited by humans. Therefore, this Dagstuhl seminar attempted to get internationally renowned researchers across a range of disciplines together in order to discuss robot manipulation from different points of view. The event was sponsored by the Leibniz-Gemeinschaft. (read more)


CoTeSys --- Cognition for Technical Systems (bibtex) [pdf]
  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.}
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