Paper Info
Title
Generic Development Methodology For Flexible Robotic Pick-And-Place Workcells Based On Digital Twin
Abstract
Together with the trends of mass personalization, flexible robotic applications become more and more popular. Although conventional robotic automation of workpiece manipulation seems to be solved, advanced tasks still need great amount of effort to be reached. In most cases, on-site robot programming methods, which are intuitive and easy to use, are not applicable in flexible scenarios. On the other hand, the application of offline programming methods requires careful modeling and planning. Consequently, this paper proposes a generalized development methodology for flexible robotic pick-and-place workcells, in order to provide guidance and thus facilitate the development process. The methodology is based on the Digital Twin (DT) concept, which allows the iterative refinement of the workcell both in the digital and in the physical space. The goal is to speed up the overall commissioning (or reconfiguration) process and reduce the amount of work in the physical workcell. This can be achieved by digitizing and automating the development, and maintaining sufficient twin closeness. With that, the operation of the digital model can be accurately realized in the physical workcell. The methodology is presented through a semi-structured pick-and-place task, realized in an experimental robotic workcell together with a reconfiguration scenario.
Year
DOI
Venue
2021
10.1016/j.rcim.2021.102140
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
Keywords
DocType
Volume
Digital twin, Modeling, Flexibility, Robot, Calibration, Planning
Journal
71
ISSN
Citations 
PageRank 
0736-5845
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Bence Tipary100.68
Gábor Erdős200.34