IEEE International Conference on Robotics and Automation (ICRA) 2013 - Lernfähige 3D-Objekterkennung für Serviceroboter

Update: 2014-01-31

Description

Für die autonome Ausführung von Handhabungsaufgaben in veränderlichen Alltagsumgebungen muss ein Serviceroboter in der Lage sein, Objekte zu erkennen und deren genaue Lage in 3D (Position und Orientierung) zu berechnen. Das Fraunhofer IPA hat eine vielseitige und flexibel einsetzbare Softwarebibliothek zum automatischen Einlernen und Erkennen von Alltagsgegenständen entwickelt.

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IEEE International Conference on Robotics and Automation (ICRA) 2013 - Lernfähige 3D-Objekterkennung für Serviceroboter

#box-pro-ellipsis-176041484506468{-webkit-line-clamp:2;}IEEE International Conference on Robotics and Automation (ICRA) 2013 - Lernfähige 3D-Objekterkennung für Serviceroboter

IEEE International Conference on Robotics and Automation (ICRA) 2013 - Lernfähige 3D-Objekterkennung für Serviceroboter

Dipl.-Inform. Jan Fischer

IEEE International Conference on Robotics and Automation (ICRA) 2013 - Lernfähige 3D-Objekterkennung für Serviceroboter