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  4. Grasping in depth maps of time-of-flight cameras
 
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2008
Conference Paper
Title

Grasping in depth maps of time-of-flight cameras

Abstract
The recognition and localizaton of objects in space is of fundamental interest in many robot vision applications, especially in those that are supposed to provide services to human beings. The trivial example of any such task is manipulation, i.e., providing a robot the means of handling objects. In this work, we discuss the chances and the problems experienced when using a time-of-flight camera as the only measurement device of an object recognizer. The localization is based on the best-fit flight camera SwissRanger SR-3000 and localize is selected set of objects in order to grasp them with a dexterous robotic hand.
Author(s)
Kühnle, Jens
Xue, Zhixing
Forschungszentrum Informatik, Karlsruhe
Stotz, Martin
Zöllner, J. Marius
Forschungszentrum Informatik, Karlsruhe
Verl, Alexander
Dillmann, Rüdiger
Forschungszentrum Informatik, Karlsruhe
Mainwork
IEEE International Workshop on Robotic and Sensors Environments, ROSE 2008. Proceedings  
Conference
International Workshop on Robotic and Sensors Environments (ROSE) 2008  
DOI
10.1109/ROSE.2008.4669194
Language
English
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Keyword(s)
  • object recognition

  • object localisation

  • calibration

  • robotic manipulation

  • time-of-flight

  • Objekterkennung

  • Handhaben

  • Kalibrieren

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