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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Wahrmann, Daniel; Hildebrandt, Arne-Christoph; Schuetz, Christoph; Wittmann, Robert; Rixen, Daniel 
Titel:
An Autonomous and Flexible Robotic Framework for Logistics Applications 
Abstract:
In this paper, we present an intelligent and flexible framework for autonomous pick-and-place tasks in previously unknown scenarios. It includes modules for object recognition, environment modeling, motion planning and collision avoidance, as well as sophisticated error handling and a task supervisor. The framework combines state-of-the-art algorithms and was validated during the first phase of the European Robotics Challenge in which it obtained first place in a field of 39 international contes...    »
 
Zeitschriftentitel:
Journal of Intelligent {&} Robotic Systems 
Jahr:
2017 
Monat:
Dec 
Nachgewiesen in:
Scopus 
Reviewed:
ja 
Print-ISSN:
1573-0409 
Publikationsdatum:
05.12.2017 
TUM Einrichtung:
Lehrstuhl für Angewandte Mechanik