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Journal Articles and Book Chapters
[1] Jan Winkler, Moritz Tenorth, Asil Kaan Bozcuoglu, Michael Beetz, "CRAMm -- Memories for Robots Performing Everyday Manipulation Activities", In Second Annual Conference on Advances in Cognitive Systems, Baltimore, MD, USA, 2013. [bib] [pdf]
[2] Moritz Tenorth, Michael Beetz, "KnowRob: A knowledge processing infrastructure for cognition-enabled robots", In The International Journal of Robotics Research, SAGE Publications, vol. 32, no. 5, pp. 566-590, 2013. [bib] [pdf] [doi]
[3] Jan Winkler, Georg Bartels, Lorenz Mösenlechner, Michael Beetz, "Knowledge Enabled High-Level Task Abstraction and Execution", In First Annual Conference on Advances in Cognitive Systems, vol. 2, no. 1, Palo Alto, CA, pp. 131-148, 2012. [bib] [pdf]
[4] Zoltan-Csaba Marton, Florian Seidel, Ferenc Balint-Benczedi, Michael Beetz, "Ensembles of Strong Learners for Multi-cue Classification", In Pattern Recognition Letters (PRL), Special Issue on Scene Understandings and Behaviours Analysis, vol. 34, no. 7, pp. 754-761, 2012. In press. [bib] [pdf] [doi]
[5] Michael Beetz, Dominik Jain, Lorenz Mösenlechner, Moritz Tenorth, Lars Kunze, Nico Blodow, Dejan Pangercic, "Cognition-Enabled Autonomous Robot Control for the Realization of Home Chore Task Intelligence", In Proceedings of the IEEE, Special Issue on Quality of Life Technology, vol. 100, no. 8, pp. 2454-2471, 2012. [bib] [doi]
[6] Michael Beetz, Moritz Tenorth, Dominik Jain, Jan Bandouch, "Towards automated models of activities of daily life", In Technology and Disability, IOS Press, vol. 22, no. 1, pp. 27-40, 2010. [bib] [pdf] [doi]
Conference Papers
[7] M. Beetz, U. Klank, I. Kresse, A. Maldonado, L. Mosenlechner, D. Pangercic, T. Ruhr, M. Tenorth, "Robotic roommates making pancakes", In Humanoid Robots (Humanoids), 2011 11th IEEE-RAS International Conference on, pp. 529-536, 2011. [bib] [doi]
[8] Moritz Tenorth, Georg Bartels, Michael Beetz, "Knowledge-based Specification of Robot Motions", In Proceedings of the European Conference on Artificial Intelligence (ECAI), 2014. [bib] [pdf]
[9] Andrei Haidu, Daniel Kohlsdorf, Michael Beetz, "Learning Task Outcome Prediction for Robot Control from Interactive Environments", In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Chicago, USA, 2014. [bib] [pdf]
[10] Daniel Nyga, Ferenc Balint-Benczedi, Michael Beetz, "PR2 Looking at Things: Ensemble Learning for Unstructured Information Processing with Markov Logic Networks", In IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, pp. 3916-3923, 2014. [bib] [pdf] [doi]
[11] Moritz Tenorth, Fernando De la Torre, Michael Beetz, "Learning probability distributions over partially-ordered human everyday activities", In Robotics and Automation (ICRA), 2013 IEEE International Conference on, pp. 4539-4544, 2013. [bib] [doi]
[12] Moritz Tenorth, Stefan Profanter, Ferenc Balint-Benczedi, Michael Beetz, "Decomposing CAD Models of Objects of Daily Use and Reasoning about their Functional Parts", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo Big Sight, Japan, pp. 5943-5949, 2013. [bib] [pdf] [doi]
[13] Lorenz Mösenlechner, Michael Beetz, "Fast Temporal Projection Using Accurate Physics-Based Geometric Reasoning", In IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, pp. 1821-1827, 2013. [bib] [doi]
[14] Lars Kunze, Andrei Haidu, Michael Beetz, "Acquiring task models for imitation learning through games with a purpose", In Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on, pp. 102-107, 2013. [bib] [pdf] [doi]
[15] Georg Bartels, Ingo Kresse, Michael Beetz, "Constraint-based Movement Representation grounded in Geometric Features", In Proceedings of the IEEE-RAS International Conference on Humanoid Robots, Atlanta, Georgia, USA, 2013. [bib] [pdf]
[16] Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Florian Seidel, Lucian Cosmin Goron, Michael Beetz, "Object Categorization in Clutter using Additive Features and Hashing of Part-graph Descriptors", In Proceedings of Spatial Cognition (SC), Springer-Verlag, Abbey Kloster Seeon, Germany, pp. 17-33, 2012. [bib] [pdf] [doi]
[17] Ferenc Balint-Benczedi, Zoltan-Csaba Marton, Michael Beetz, "Efficient Part-Graph Hashes for Object Categorization", In 5th International Conference on Cognitive Systems (CogSys), 2012. [bib]
[18] Sebastian Albrecht, Karinne Ramirez-Amaro, Federico Ruiz-Ugalde, David Weikersdorfer, Marion Leibold, Michael Ulbrich, Michael Beetz, "Imitating human reaching motions using physically inspired optimization principles", In 11th IEEE-RAS International Conference on Humanoid Robots, Bled, Slovenia, pp. 602-607, 2011. [bib] [doi]
[19] Daniel Nyga, Moritz Tenorth, Michael Beetz, "How-Models of Human Reaching Movements in the Context of Everyday Manipulation Activities", In IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, pp. 6221-6226, 2011. [bib] [pdf] [doi]
[20] Lorenz Mösenlechner, Michael Beetz, "Parameterizing Actions to have the Appropriate Effects", In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), San Francisco, CA, USA, pp. 4141-4147, 2011. [bib] [doi]
[21] Lorenz Mösenlechner, Nikolaus Demmel, Michael Beetz, "Becoming Action-aware through Reasoning about Logged Plan Execution Traces", In IEEE/RSJ International Conference on Intelligent RObots and Systems (IROS), Taipei, Taiwan, pp. 2231-2236, 2010. [bib] [doi]
[22] Michael Beetz, Lorenz Mösenlechner, Moritz Tenorth, "CRAM -- A Cognitive Robot Abstract Machine for Everyday Manipulation in Human Environments", In IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, pp. 1012-1017, 2010. [bib] [pdf]
[23] Freek Stulp, Erhan Oztop, Peter Pastor, Michael Beetz, Stefan Schaal, "Compact Models of Motor Primitive Variations for Predictable Reaching and Obstacle Avoidance", In 9th IEEE-RAS International Conference on Humanoid Robots, pp. 589-595, 2009. [bib] [doi]
Workshop Papers
[24] Moritz Tenorth, Jan Bandouch, Michael Beetz, "The TUM Kitchen Data Set of Everyday Manipulation Activities for Motion Tracking and Action Recognition", In IEEE International Workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences (THEMIS), in conjunction with ICCV2009, pp. 1089-1096, 2009. [bib] [pdf] [doi]
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