Peter Krauthausen
![]() | Dipl.-Inform. Research Assistant |
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Address: | Karlsruhe Institute of Technology
Institute for Anthropomatics and Robotics Building 50.20 Room 130 Adenauerring 2 D-76131 Karlsruhe |
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Walk-in hours: | on arrangement | |
Phone: | +49-721-608-46340 | |
E-mail: | Peter.Krauthausen@kit.edu |
Academic Career
Since 08/07 | Research Assistant at the Intelligent Sensor-Actuator-Systems Lab, Department of Computer Science, Karlsruhe Institute of Technology. |
10/06 - 03/07 | Graduation as Diplom-Informatiker, Universität Karlsruhe (TH), diploma thesis performed at the Fraunhofer Institut für Informations- und Datenverarbeitung (IITB) and the Interaktive Echtzeitsysteme Lab: "Support Vector Machines in Decision Trees". |
08/04 - 08/05 | Master of Science in Computer Science, Georgia Institute of Technology. |
10/01 - 03/07 | Student of Computer Science at Universität Karlsruhe (TH). |
Research Interests
- Statistical learning theory,
- Machine learning,
- System and estimator theory.
My research is performed as part of the Collaborative Research Center 588 "Humanoid Robots - Learning and Cooperating Multimodal Robots" in the field of intention recognition funded by the Deutsche Forschungsgemeinschaft (DFG).
Teaching
- Assistant and coordinator for the lecture Stochastische Informationsverarbeitung (Probabilistic Information Processing) (winter terms 2007/2008, 2008/2009, 2009/2010 and 2010/2011),
- Supervision of small groups of students in the Praktikum: Forschungsprojekt "Intelligente Sensor-Aktor-Systeme" laboratory (winter term 2007/2008 to summer term 2009).
Publications
Marco Huber, Peter Krauthausen, Uwe D. Hanebeck, Superficial Gaussian Mixture Reduction
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Dirk Gehrig, Peter Krauthausen, Lukas Rybok, Hildegard Kühne, Tanja Schultz, Uwe D. Hanebeck, Rainer Stiefelhagen, Combined Intention, Activity, and Motion Recognition for a Humanoid Household Robot
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Peter Krauthausen, Patrick Ruoff, Uwe D. Hanebeck, Sparse Mixture Conditional Density Estimation by Superficial Regularization
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Patrick Ruoff, Peter Krauthausen, Uwe D. Hanebeck, Progressive Correction for Deterministic Dirac Mixture Approximations
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Peter Krauthausen, Masoud Roschani, Uwe D. Hanebeck, Incorporating Prior Knowledge into Nonparametric Conditional Density Estimation
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Peter Krauthausen, Uwe D. Hanebeck, A Model-Predictive Switching Approach To Efficient Intention Recognition
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Peter Krauthausen, Uwe D. Hanebeck, Situation-Specific Intention Recognition for Human-Robot-Cooperation
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Peter Krauthausen, Uwe D. Hanebeck, Regularized Non-Parametric Multivariate Density and Conditional Density Estimation
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Peter Krauthausen, Henning Eberhardt, Uwe D. Hanebeck, Multivariate Parametric Density Estimation Based On The Modified Cramér-von Mises Distance
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Peter Krauthausen, Marco F. Huber, Uwe D. Hanebeck, Support-Vector Conditional Density Estimation for Nonlinear Filtering
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Peter Krauthausen, Uwe D. Hanebeck, Parameter Learning for Hybrid Bayesian Networks With Gaussian Mixture and Dirac Mixture Conditional Densities
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Peter Krauthausen, Uwe D. Hanebeck, Intention Recognition for Partial-Order Plans Using Dynamic Bayesian Networks
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Peter Krauthausen, Astrid Laubenheimer,
A Comparative Study of Decision Tree Approaches to Multi-Class Support Vector Machines,
Proceedings of Artificial Intelligence and Applications (AIA 2008), Innsbruck, Austria, February, 2008.
Peter Krauthausen, Alexander Kipp, Frank Dellaert,
Exploiting Locality in SLAM by Nested Dissection,
Proceedings of Robotics: Science and Systems (RSS II), Philadelphia, USA, August, 2006.
Frank Dellaert, Alexander Kipp, Peter Krauthausen,
A Multifrontal QR Factorization Approach to Distributed Inference Applied to Multi-Robot Localization and Mapping,
Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI 2005), Pittsburgh, Pennsylvania, July, 2005.