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

Publications

 
Marco Huber, Peter Krauthausen, Uwe D. Hanebeck,
Superficial Gaussian Mixture Reduction
Proceedings of the IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF 2011), Berlin, Germany, October 2011.
PDF
Author : Marco Huber, Peter Krauthausen, Uwe D. Hanebeck
Editor :
Title : Superficial Gaussian Mixture Reduction
In : Proceedings of the IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF 2011)
Address : Berlin, Germany
Date : October 2011
Abstract
 
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
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, California, USA, September 2011.
PDF
Author : Dirk Gehrig, Peter Krauthausen, Lukas Rybok, Hildegard Kühne, Tanja Schultz, Uwe D. Hanebeck, Rainer Stiefelhagen
Editor :
Title : Combined Intention, Activity, and Motion Recognition for a Humanoid Household Robot
In : Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011)
Address : San Francisco, California, USA
Date : September 2011
Abstract
 
Peter Krauthausen, Patrick Ruoff, Uwe D. Hanebeck,
Sparse Mixture Conditional Density Estimation by Superficial Regularization
Proceedings of the 14th International Conference on Information Fusion (Fusion 2011), Chicago, Illinois, USA, July 2011.
PDF
Author : Peter Krauthausen, Patrick Ruoff, Uwe D. Hanebeck
Editor :
Title : Sparse Mixture Conditional Density Estimation by Superficial Regularization
In : Proceedings of the 14th International Conference on Information Fusion (Fusion 2011)
Address : Chicago, Illinois, USA
Date : July 2011
Abstract
 
Patrick Ruoff, Peter Krauthausen, Uwe D. Hanebeck,
Progressive Correction for Deterministic Dirac Mixture Approximations
Proceedings of the 14th International Conference on Information Fusion (Fusion 2011), Chicago, Illinois, USA, July 2011.
PDF
Author : Patrick Ruoff, Peter Krauthausen, Uwe D. Hanebeck
Editor :
Title : Progressive Correction for Deterministic Dirac Mixture Approximations
In : Proceedings of the 14th International Conference on Information Fusion (Fusion 2011)
Address : Chicago, Illinois, USA
Date : July 2011
Abstract
 
Peter Krauthausen, Masoud Roschani, Uwe D. Hanebeck,
Incorporating Prior Knowledge into Nonparametric Conditional Density Estimation
Proceedings of the 2011 American Control Conference (ACC 2011), San Francisco, California, USA, June 2011.
PDF
Author : Peter Krauthausen, Masoud Roschani, Uwe D. Hanebeck
Editor :
Title : Incorporating Prior Knowledge into Nonparametric Conditional Density Estimation
In : Proceedings of the 2011 American Control Conference (ACC 2011)
Address : San Francisco, California, USA
Date : June 2011
Abstract
 
Peter Krauthausen, Uwe D. Hanebeck,
A Model-Predictive Switching Approach To Efficient Intention Recognition
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), Taipei, Taiwan, October 2010.
PDF
Author : Peter Krauthausen, Uwe D. Hanebeck
Editor :
Title : A Model-Predictive Switching Approach To Efficient Intention Recognition
In : Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010)
Address : Taipei, Taiwan
Date : October 2010
Abstract
 
Peter Krauthausen, Uwe D. Hanebeck,
Situation-Specific Intention Recognition for Human-Robot-Cooperation
33rd Annual German Conference on Artificial Intelligence (KI 2010), Karlsruhe, Germany, September 2010.
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Author : Peter Krauthausen, Uwe D. Hanebeck
Editor :
Title : Situation-Specific Intention Recognition for Human-Robot-Cooperation
In : 33rd Annual German Conference on Artificial Intelligence (KI 2010)
Address : Karlsruhe, Germany
Date : September 2010
Abstract
 
Peter Krauthausen, Uwe D. Hanebeck,
Regularized Non-Parametric Multivariate Density and Conditional Density Estimation
Proceedings of the 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2010), Salt Lake City, Utah, USA, September 2010.
PDF
Author : Peter Krauthausen, Uwe D. Hanebeck
Editor :
Title : Regularized Non-Parametric Multivariate Density and Conditional Density Estimation
In : Proceedings of the 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2010)
Address : Salt Lake City, Utah, USA
Date : September 2010
Abstract
 
Peter Krauthausen, Henning Eberhardt, Uwe D. Hanebeck,
Multivariate Parametric Density Estimation Based On The Modified Cramér-von Mises Distance
Proceedings of the 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2010), Salt Lake City, Utah, USA, September 2010.
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Author : Peter Krauthausen, Henning Eberhardt, Uwe D. Hanebeck
Editor :
Title : Multivariate Parametric Density Estimation Based On The Modified Cramér-von Mises Distance
In : Proceedings of the 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2010)
Address : Salt Lake City, Utah, USA
Date : September 2010
Abstract
 
Peter Krauthausen, Marco F. Huber, Uwe D. Hanebeck,
Support-Vector Conditional Density Estimation for Nonlinear Filtering
Proceedings of the 13th International Conference on Information Fusion (Fusion 2010), Edinburgh, United Kingdom, July 2010.
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Author : Peter Krauthausen, Marco F. Huber, Uwe D. Hanebeck
Editor :
Title : Support-Vector Conditional Density Estimation for Nonlinear Filtering
In : Proceedings of the 13th International Conference on Information Fusion (Fusion 2010)
Address : Edinburgh, United Kingdom
Date : July 2010
Abstract
 
Peter Krauthausen, Uwe D. Hanebeck,
Parameter Learning for Hybrid Bayesian Networks With Gaussian Mixture and Dirac Mixture Conditional Densities
Proceedings of the 2010 American Control Conference (ACC 2010), Baltimore, Maryland, USA, June 2010.
PDF
Author : Peter Krauthausen, Uwe D. Hanebeck
Editor :
Title : Parameter Learning for Hybrid Bayesian Networks With Gaussian Mixture and Dirac Mixture Conditional Densities
In : Proceedings of the 2010 American Control Conference (ACC 2010)
Address : Baltimore, Maryland, USA
Date : June 2010
Abstract
 
Peter Krauthausen, Uwe D. Hanebeck,
Intention Recognition for Partial-Order Plans Using Dynamic Bayesian Networks
Proceedings of the 12th International Conference on Information Fusion (Fusion 2009), Seattle, Washington, USA, July 2009.
PDF
Author : Peter Krauthausen, Uwe D. Hanebeck
Editor :
Title : Intention Recognition for Partial-Order Plans Using Dynamic Bayesian Networks
In : Proceedings of the 12th International Conference on Information Fusion (Fusion 2009)
Address : Seattle, Washington, USA
Date : July 2009
Abstract


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.

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