• Publications
  • Influence
Robot Programming by Demonstration
TLDR
Drawing on findings from robot control, human-robot interaction, applied machine learning, artificial intelligence, and developmental and cognitive psychology, the book contains a large set of didactic and illustrative examples. Expand
ARMAR-III: An Integrated Humanoid Platform for Sensory-Motor Control
TLDR
The goal of the work is to provide reliable and highly integrated humanoid platforms which on the one hand allow the implementation and tests of various research activities and on the other hand the realization of service tasks in a household scenario. Expand
Design of the TUAT/Karlsruhe humanoid hand
TLDR
The mechanism and design of a new humanoid-type hand with human-like manipulation abilities is discussed and is designed for the humanoid robot ARMAR which has to work autonomously or interactively in cooperation with humans and for an artificial lightweight arm for handicapped persons. Expand
Editorial
A probabilistic model for estimating driver behaviors and vehicle trajectories in traffic environments
TLDR
A filter that is able to simultaneously estimate the behaviors of traffic participants and anticipate their future trajectories and achieves a comprehensive situational understanding, inevitable for autonomous vehicles and driver assistance systems is presented. Expand
The KIT object models database: An object model database for object recognition, localization and manipulation in service robotics
TLDR
The system described in this article was constructed specifically for the generation of model data for object recognition, localization and manipulation tasks and it allows 2D image and 3D geometric data of everyday objects to be obtained semi-automatically. Expand
Probabilistic decision-making under uncertainty for autonomous driving using continuous POMDPs
TLDR
This paper formulates the task of driving as a continuous Partially Observable Markov Decision Process (POMDP) that can be automatically optimized for different scenarios and employs a continuous POMDP solver that learns a good representation of the specific situation. Expand
Teaching and learning of robot tasks via observation of human performance
  • R. Dillmann
  • Computer Science
  • Robotics Auton. Syst.
  • 30 June 2004
TLDR
An approach for teaching a humanoid robot is presented that will enable the robot to learn typical tasks required in everyday household environments and the main focus is on the knowledge representation in order to be able to abstract the problem solution strategies and to transfer them onto the robot system. Expand
Towards Cognitive Robots: Building Hierarchical Task Representations of Manipulations from Human Demonstration
TLDR
The focus of the paper is on modeling and representing manipulation tasks enabling the system to reason and reorganize the gathered knowledge in terms of reusability, scalability and explainability of learned skills and tasks. Expand
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