M. Pardowitz

发表

Using entropy for dimension reduction of tactile data

Helge J. Ritter, Michael Pardowitz, Matthias Schöpfer, 2009, 2009 International Conference on Advanced Robotics.

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

Rüdiger Dillmann, Michael Pardowitz, Raoul Daniel Zöllner, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

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

Helge J. Ritter, Michael Pardowitz, Carsten Schürmann, 2010, ISR/ROBOTIK.

Learning repetitive robot programs from demonstrations using version space algebra

Rüdiger Dillmann, M. Pardowitz, R. Dillmann, 2007 .

Incremental Learning of Task Sequences with Information-Theoretic Metrics

Rüdiger Dillmann, Michael Pardowitz, Raoul Daniel Zöllner, 2006, EUROS.

Using Structured UKR manifolds for motion classification and segmentation

Helge J. Ritter, Jan Steffen, Michael Pardowitz, 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Gestalt-based action segmentation for robot task learning

Helge J. Ritter, Jochen J. Steil, Michael Pardowitz, 2008, Humanoids 2008 - 8th IEEE-RAS International Conference on Humanoid Robots.

From Abstract Task Knowledge to Executable Robot Programs

Rüdiger Dillmann, Michael Pardowitz, Steffen Knoop, 2008, J. Intell. Robotic Syst..

Automatic robot programming from learned abstract task knowledge

Rüdiger Dillmann, Michael Pardowitz, Steffen Knoop, 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Towards life-long learning in household robots: The Piagetian approach

R. Dillmann, M. Pardowitz, R. Dillmann, 2007, 2007 IEEE 6th International Conference on Development and Learning.

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

Rüdiger Dillmann, Michael Pardowitz, Raoul Daniel Zöllner, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

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

Rüdiger Dillmann, Michael Pardowitz, Raoul Daniel Zöllner, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

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

Rüdiger Dillmann, Michael Pardowitz, Raoul Daniel Zöllner, 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Incremental acquisition of task knowledge applying heuristic relevance estimation

Rüdiger Dillmann, Michael Pardowitz, Raoul Daniel Zöllner, 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

Learning sequential constraints of tasks from user demonstrations

Rüdiger Dillmann, Michael Pardowitz, Raoul Daniel Zöllner, 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

A Manifold Representation as Common Basis for Action Production and Recognition

Helge J. Ritter, Jan Steffen, Michael Pardowitz, 2009, KI.

Open source real-time control software for the Kuka light weight robot

Matthias Schopfer, Florian Schmidt, Michael Pardowitz, 2010, 2010 8th World Congress on Intelligent Control and Automation.

Identifying Relevant Tactile Features for Object Identification

Helge J. Ritter, Michael Pardowitz, Robert Haschke, 2012, Towards Service Robots for Everyday Environments.