Title :
Realistic simulation of industrial bin-picking systems
Author :
Schyja, Adrian ; Kuhlenkotter, Bernd
Author_Institution :
Inst. for Res. & Transfer (RIF), Dortmund, Germany
Abstract :
Although bin-picking is a well-researched and popular topic, planning and designing bin-picking systems is still a challenge. One reason for this is the fact that no comprehensive tools for planning such systems in an early engineering stage exist. Hence, there is no possibility to determine optimal system components and their configuration. In particular, there is no chance to provide a complete simulation and verification in advance, which is state of the art in many areas of virtual commissioning. In this paper, we present a versatile solution for planning, configuration and simulation of bin-picking systems within a virtual environment. Thus, a qualitative and quantitative evidence of bin-picking becomes possible. Based on real and virtual use cases results of a research experience are presented.
Keywords :
bin packing; control engineering computing; digital simulation; grippers; industrial robots; planning; production engineering computing; robot vision; virtual reality; bin-picking systems configuration; bin-picking systems design; bin-picking systems planning; bin-picking systems simulation; gripper; industrial bin-picking systems; industrial robotics; qualitative evidence; quantitative evidence; realistic simulation; virtual environment; Collision avoidance; Computational modeling; Grippers; Physics; Robot sensing systems; Solid modeling; industrial robotics; process simulation; virtual bin-picking;
Conference_Titel :
Automation, Robotics and Applications (ICARA), 2015 6th International Conference on
Conference_Location :
Queenstown
DOI :
10.1109/ICARA.2015.7081137