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Dietrich, André
Nutzung geometrischer Modelle zur Verbesserung der Umgebungswahrnehmung (Inproceeding)
Claudia Krull Eike Schallen, Sebastian Zug (Ed.): Tagungsband der 1. Doktorandentagung Magdeburger-Informatik Tage 2012 (MIT 2012), pp. 1-8, 2012.
(BibTeX | Tags: Awareness)
@inproceedings{EOS-2012.000-D,
title = {Nutzung geometrischer Modelle zur Verbesserung der Umgebungswahrnehmung},
author = {André Dietrich},
editor = {Claudia Krull, Eike Schallen, Sebastian Zug},
year = {2012},
date = {2012-07-17},
booktitle = {Tagungsband der 1. Doktorandentagung Magdeburger-Informatik Tage 2012 (MIT 2012)},
journal = {Tagungsband der 1. Doktorandentagung Magdeburger-Informatik tage 2012 (MIT 2012)},
pages = {1-8},
keywords = {Awareness}
}
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Dietrich, André; Schulze, Michael; Zug, Sebastian; Kaiser, Jörg
Visualization of Robot’s Awareness and Perception (Inproceeding)
First International Workshop on Digital Engineering (IWDE), ACM Press New York, NY, USA, Magdeburg, Germany, 2010.
(Abstract | BibTeX | Tags: Awareness, Perception, Robotic, Visualization)
@inproceedings{EOS-2010.000-DSZK,
title = {Visualization of Robot’s Awareness and Perception},
author = {André Dietrich and Michael Schulze and Sebastian Zug and Jörg Kaiser},
year = {2010},
date = {2010-06-14},
booktitle = {First International Workshop on Digital Engineering (IWDE)},
publisher = {ACM Press New York, NY, USA},
address = {Magdeburg, Germany},
abstract = {Today, direct interaction between humans and robots is limited, although the combination of human flexibility and robots power enables a growing productivity. The problem for humans lies in the nearly unpredictable behavior and motion of the robot itself. However, we can enhance human\’s view with more information to get knowledge about robot\’s perception and awareness. We use Augmented Reality methods for providing the information in an adaptable visualization for different user types. We show that our approach leads to shorter development cycles as well as to safer human-robot interaction.},
keywords = {Awareness, Perception, Robotic, Visualization}
}
Today, direct interaction between humans and robots is limited, although the combination of human flexibility and robots power enables a growing productivity. The problem for humans lies in the nearly unpredictable behavior and motion of the robot itself. However, we can enhance human’s view with more information to get knowledge about robot’s perception and awareness. We use Augmented Reality methods for providing the information in an adaptable visualization for different user types. We show that our approach leads to shorter development cycles as well as to safer human-robot interaction.
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