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Michael Pardowitz
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2010 – 2019
- 2012
- [p1]Matthias Schöpfer, Michael Pardowitz, Robert Haschke
, Helge J. Ritter:
Identifying Relevant Tactile Features for Object Identification. Towards Service Robots for Everyday Environments 2012: 417-430 - 2011
- [j4]Jan Steffen, Michael Pardowitz, Jochen J. Steil, Helge J. Ritter:
Integrating feature maps and competitive layer architectures for motion segmentation. Neurocomputing 74(9): 1372-1381 (2011) - 2010
- [c14]Jan Steffen, Michael Pardowitz, Jochen Jakob Steil, Helge J. Ritter:
Neural competition for motion segmentation. ESANN 2010 - [c13]Matthias Schöpfer, Carsten Schürmann, Michael Pardowitz, Helge J. Ritter:
Using a Piezo-Resistive Tactile Sensor for Detection of Incipient Slippage. ISR/ROBOTIK 2010: 1-7
2000 – 2009
- 2009
- [c12]Matthias Schöpfer, Michael Pardowitz, Helge J. Ritter:
Using entropy for dimension reduction of tactile data. ICAR 2009: 1-6 - [c11]Jan Steffen, Michael Pardowitz, Helge J. Ritter:
Using Structured UKR manifolds for motion classification and segmentation. IROS 2009: 4785-4790 - [c10]Michael Pardowitz, Jan Steffen, Helge J. Ritter:
Self-emerging Action Gestalts for Task Segmentation. KI 2009: 589-596 - [c9]Jan Steffen, Michael Pardowitz, Helge J. Ritter:
A Manifold Representation as Common Basis for Action Production and Recognition. KI 2009: 607-614 - 2008
- [j3]Steffen Knoop, Michael Pardowitz, Rüdiger Dillmann:
From Abstract Task Knowledge to Executable Robot Programs. J. Intell. Robotic Syst. 52(3-4): 343-362 (2008) - [c8]Michael Pardowitz, Robert Haschke
, Jochen J. Steil, Helge J. Ritter:
Gestalt-based action segmentation for robot task learning. Humanoids 2008: 347-352 - 2007
- [b1]Michael Pardowitz:
Inkrementelles und interaktives Lernen von Handlungswissen für Haushaltsroboter. Karlsruhe Institute of Technology, 2007 - [j2]Rüdiger Dillmann, Peter Steinhaus, Tamim Asfour, Michael Pardowitz:
Lernende humanoide Roboter in Alltagsumgebungen (Learning Humanoid Robots in Everyday Environments). it Inf. Technol. 49(4): 224- (2007) - [j1]Michael Pardowitz, Steffen Knoop, Rüdiger Dillmann, Raoul Daniel Zöllner:
Incremental Learning of Tasks From User Demonstrations, Past Experiences, and Vocal Comments. IEEE Trans. Syst. Man Cybern. Part B 37(2): 322-332 (2007) - [c7]Steffen Knoop, Michael Pardowitz, Rüdiger Dillmann:
Automatic robot programming from learned abstract task knowledge. IROS 2007: 1651-1657 - 2006
- [c6]Michael Pardowitz, Raoul Zöllner, Rüdiger Dillmann:
Incremental Learning of Task Sequences with Information-Theoretic Metrics. EUROS 2006: 51-63 - [c5]Michael Pardowitz, Raoul Zöllner, Rüdiger Dillmann:
Incremental Acquisition of Task Knowledge Applying Heuristic Relevance Estimation. ICRA 2006: 3011-3016 - [c4]Michael Pardowitz, Raoul Zöllner, Steffen Knoop, Rüdiger Dillmann:
Using Physical Demonstrations, Background Knowledge and Vocal Comments for Task Learning. IROS 2006: 322-327 - [c3]Michael Pardowitz, Raoul Zöllner, Rüdiger Dillmann:
Unsupervised and Incremental Acquisition of and Reasoning on Holistic Task Knowledge forHousehold Robot Companions. IROS 2006: 5060-5065 - 2005
- [c2]Michael Pardowitz, Raoul Zöllner, Rüdiger Dillmann:
Learning sequential constraints of tasks from user demonstrations. Humanoids 2005: 424-429 - [c1]Raoul Zöllner, Michael Pardowitz, Steffen Knoop, Rüdiger Dillmann:
Towards Cognitive Robots: Building Hierarchical Task Representations of Manipulations from Human Demonstration. ICRA 2005: 1535-1540
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