[7] | Freek Stulp, Erhan Oztop, Peter Pastor, Michael Beetz and 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.
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[8] | Michael Beetz, Lorenz Mösenlechner and 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.
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[9] | Lorenz Mösenlechner, Nikolaus Demmel and 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.
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[10] | Lorenz Mösenlechner and 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.
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[11] | Daniel Nyga, Moritz Tenorth and 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.
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[12] | Sebastian Albrecht, Karinne Ramirez-Amaro, Federico Ruiz-Ugalde, David Weikersdorfer, Marion Leibold, Michael Ulbrich and 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.
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[13] | Beetz, M., Klank, U., Kresse, I., Maldonado, A., Mosenlechner, L., Pangercic, D., Ruhr, T. and Tenorth, M., "Robotic roommates making pancakes", In Humanoid Robots (Humanoids), 2011 11th IEEE-RAS International Conference on, pp. 529-536, 2011.
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[14] | Ferenc Balint-Benczedi, Zoltan-Csaba Marton and Michael Beetz, "Efficient Part-Graph Hashes for Object Categorization", In 5th International Conference on Cognitive Systems (CogSys), 2012.
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[15] | Zoltan-Csaba Marton, Ferenc Balint-Benczedi, Florian Seidel, Lucian Cosmin Goron and 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.
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[16] | Lorenz Mösenlechner and 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.
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[17] | Moritz Tenorth, Stefan Profanter, Ferenc Balint-Benczedi and 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.
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[18] | Georg Bartels, Ingo Kresse and 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.
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[19] | Tenorth, Moritz, De la Torre, Fernando and Beetz, Michael, "Learning probability distributions over partially-ordered human everyday activities", In Robotics and Automation (ICRA), 2013 IEEE International Conference on, pp. 4539–4544, 2013.
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[20] | Kunze, Lars, Haidu, Andrei and Beetz, Michael, "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.
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[21] | Andrei Haidu, Daniel Kohlsdorf and 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.
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[22] | Moritz Tenorth, Georg Bartels and Michael Beetz, "Knowledge-based Specification of Robot Motions", In Proceedings of the European Conference on Artificial Intelligence (ECAI), 2014.
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[23] | Daniel Nyga, Ferenc Balint-Benczedi and 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.
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