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
Link To Document :
بازگشت