Michael Pardowitz

According to our database, Michael Pardowitz authored at least 20 papers between 2005 and 2012.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2012

Identifying Relevant Tactile Features for Object Identification.

Matthias Schöpfer, Michael Pardowitz, Robert Haschke, Helge J. Ritter

Proceedings of the Towards Service Robots for Everyday Environments, 2012

2011

Integrating feature maps and competitive layer architectures for motion segmentation.

Jan Steffen, Michael Pardowitz, Jochen J. Steil, Helge J. Ritter

Neurocomputing, 2011

2010

Using a Piezo-Resistive Tactile Sensor for Detection of Incipient Slippage.

Matthias Schöpfer, Carsten Schürmann, Michael Pardowitz, Helge J. Ritter

Proceedings of the ISR/ROBOTIK 2010, Proceedings for the joint conference of ISR 2010 (41st Internationel Symposium on Robotics) und ROBOTIK 2010 (6th German Conference on Robotics), 7-9 June 2010, Munich, Germany, 2010

Neural competition for motion segmentation.

Jan Steffen, Michael Pardowitz, Jochen Jakob Steil, Helge J. Ritter

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

A Manifold Representation as Common Basis for Action Production and Recognition.

Jan Steffen, Michael Pardowitz, Helge J. Ritter

Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Self-emerging Action Gestalts for Task Segmentation.

Michael Pardowitz, Jan Steffen, Helge J. Ritter

Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Using Structured UKR manifolds for motion classification and segmentation.

Jan Steffen, Michael Pardowitz, Helge J. Ritter

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Using entropy for dimension reduction of tactile data.

Matthias Schöpfer, Michael Pardowitz, Helge J. Ritter

Proceedings of the 14th International Conference on Advanced Robotics, 2009

2008

From Abstract Task Knowledge to Executable Robot Programs.

Steffen Knoop, Michael Pardowitz, Rüdiger Dillmann

J. Intell. Robotic Syst., 2008

Gestalt-based action segmentation for robot task learning.

Michael Pardowitz, Robert Haschke, Jochen J. Steil, Helge J. Ritter

Proceedings of the 8th IEEE-RAS International Conference on Humanoid Robots, 2008

2007

Inkrementelles und interaktives Lernen von Handlungswissen für Haushaltsroboter.

Michael Pardowitz

PhD thesis, 2007

Incremental Learning of Tasks From User Demonstrations, Past Experiences, and Vocal Comments.

Michael Pardowitz, Steffen Knoop, Rüdiger Dillmann, Raoul Daniel Zöllner

IEEE Trans. Syst. Man Cybern. Part B, 2007

Lernende humanoide Roboter in Alltagsumgebungen (Learning Humanoid Robots in Everyday Environments).

Rüdiger Dillmann, Peter Steinhaus, Tamim Asfour, Michael Pardowitz

it Inf. Technol., 2007

Automatic robot programming from learned abstract task knowledge.

Steffen Knoop, Michael Pardowitz, Rüdiger Dillmann

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

2006

Using Physical Demonstrations, Background Knowledge and Vocal Comments for Task Learning.

Michael Pardowitz, Raoul Zöllner, Steffen Knoop, Rüdiger Dillmann

Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Unsupervised and Incremental Acquisition of and Reasoning on Holistic Task Knowledge forHousehold Robot Companions.

Michael Pardowitz, Raoul Zöllner, Rüdiger Dillmann

Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

Incremental Acquisition of Task Knowledge Applying Heuristic Relevance Estimation.

Michael Pardowitz, Raoul Zöllner, Rüdiger Dillmann

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Incremental Learning of Task Sequences with Information-Theoretic Metrics.

Michael Pardowitz, Raoul Zöllner, Rüdiger Dillmann

Proceedings of the First European Robotics Symposium 2006, 2006

2005

Towards Cognitive Robots: Building Hierarchical Task Representations of Manipulations from Human Demonstration.

Raoul Zöllner, Michael Pardowitz, Steffen Knoop, Rüdiger Dillmann

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Learning sequential constraints of tasks from user demonstrations.

Michael Pardowitz, Raoul Zöllner, Rüdiger Dillmann

Proceedings of the 5th IEEE-RAS International Conference on Humanoid Robots, 2005