Learning sequential constraints of tasks from user demonstrations. - Michael Pardowitz; Raoul Zöllner; Rüdiger Dillmann (Humanoids, 2005)

Towards Cognitive Robots: Building Hierarchical Task Representations of Manipulations from Human Demonstration. - Raoul Zöllner; Michael Pardowitz; Steffen Knoop; Rüdiger Dillmann (ICRA, 2005)

Incremental Learning of Task Sequences with Information-Theoretic Metrics. - Michael Pardowitz; Raoul Zöllner; Rüdiger Dillmann (EUROS, 2006)

Incremental Acquisition of Task Knowledge Applying Heuristic Relevance Estimation. - Michael Pardowitz; Raoul Zöllner; Rüdiger Dillmann (ICRA, 2006)

Unsupervised and Incremental Acquisition of and Reasoning on Holistic Task Knowledge forHousehold Robot Companions. - Michael Pardowitz; Raoul Zöllner; Rüdiger Dillmann (IROS, 2006)

Using Physical Demonstrations, Background Knowledge and Vocal Comments for Task Learning. - Michael Pardowitz; Raoul Zöllner; Steffen Knoop; Rüdiger Dillmann (IROS, 2006)

Automatic robot programming from learned abstract task knowledge. - Steffen Knoop; Michael Pardowitz; Rüdiger Dillmann (IROS, 2007)

Lernende humanoide Roboter in Alltagsumgebungen (Learning Humanoid Robots in Everyday Environments). - Rüdiger Dillmann; Peter Steinhaus; Tamim Asfour; Michael Pardowitz (it Inf. Technol., 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)

Inkrementelles und interaktives Lernen von Handlungswissen für Haushaltsroboter. - Michael Pardowitz (2007)

Gestalt-based action segmentation for robot task learning. - Michael Pardowitz; Robert Haschke; Jochen J. Steil; Helge J. Ritter (Humanoids, 2008)

From Abstract Task Knowledge to Executable Robot Programs. - Steffen Knoop; Michael Pardowitz; Rüdiger Dillmann (J. Intell. Robotic Syst., 2008)

Using entropy for dimension reduction of tactile data. - Matthias Schöpfer; Michael Pardowitz; Helge J. Ritter (ICAR, 2009)

Using Structured UKR manifolds for motion classification and segmentation. - Jan Steffen; Michael Pardowitz; Helge J. Ritter (IROS, 2009)

Self-emerging Action Gestalts for Task Segmentation. - Michael Pardowitz; Jan Steffen; Helge J. Ritter (KI, 2009)

A Manifold Representation as Common Basis for Action Production and Recognition. - Jan Steffen; Michael Pardowitz; Helge J. Ritter (KI, 2009)

Neural competition for motion segmentation. - Jan Steffen; Michael Pardowitz; Jochen Jakob Steil; Helge J. Ritter (ESANN, 2010)

Using a Piezo-Resistive Tactile Sensor for Detection of Incipient Slippage. - Matthias Schöpfer; Carsten Schürmann; Michael Pardowitz; Helge J. Ritter (ISR/ROBOTIK, 2010)

Integrating feature maps and competitive layer architectures for motion segmentation. - Jan Steffen; Michael Pardowitz; Jochen J. Steil; Helge J. Ritter (Neurocomputing, 2011)

Identifying Relevant Tactile Features for Object Identification. - Matthias Schöpfer; Michael Pardowitz; Robert Haschke; Helge J. Ritter (Towards Service Robots for Everyday Environments, 2012)