DocumentCode
1792613
Title
Offline workpiece calibration method for robotic reconfigurable machining platform
Author
Pini, Fabio ; Leali, Francesco ; Ansaloni, Matteo
Author_Institution
Eng. Dept. “Enzo Ferrari”, Univ. of Modena & Reggio Emilia, Modena, Italy
fYear
2014
fDate
16-19 Sept. 2014
Firstpage
1
Lastpage
8
Abstract
Recent trends in industrial manufacturing impose the adoption of changeable systems, based on reconfigurable and flexible equipment. In this scenario, industrial robotics platforms are central to design highly reconfigurable systems. A Robotic Reconfigurable Machining Platform (RRMP), as defined, is a modular architecture for robotic workcells, designed in order to exploit the flexibility features of robots and extend their field of application to high precision machining. RRMP calibration is a key task, which involves calibration of tools, workpieces and peripherals. However, state-of-the-art calibration methods and tools lead to hardly predictable system downtime, which impacts the reconfiguration phase. A novel method to perform the workpiece calibration is proposed for the reduction of the reconfiguration efforts in RRMPs. The method is addressed through a full integration with a virtual environment for robot simulation and programming. The method is finally applied to an industrial case study and compared to the most widely diffused online approach.
Keywords
calibration; industrial robots; machining; precision engineering; robot programming; RRMP calibration; changeable systems; flexible equipment; high precision machining; industrial manufacturing; industrial robotics platforms; modular architecture; offline workpiece calibration method; reconfigurable equipment; reconfigurable systems; robot programming; robot simulation; robotic reconfigurable machining platform; robotic workcells; virtual environment; workpiece calibration; Blades; Calibration; Machining; Programming; Robot kinematics; Service robots; Robot offline programming; Robotic machining; Workpiece calibration;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technology and Factory Automation (ETFA), 2014 IEEE
Conference_Location
Barcelona
Type
conf
DOI
10.1109/ETFA.2014.7005246
Filename
7005246
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