This paper describes the design and development of a system for secondary machining of complex 3D surface which selects high-precision 3D vision system as input and industrial robot as effector. This system consists of calibration subsystem, area extraction and identification subsystem, robot path generation subsystem and robot control subsystem, and can solve the localization problem of workpiece whose location is randomized in the 3D space in the robot industry application, and realize the function of machining in the designated area on the surface of random workpiece. The main significance of this system is to expand the robot industry application, and reduce the difficulty in using robots in the machining system. Meanwhile, this system can improve the adaptability of product...[ Read more ]

This paper describes the design and development of a system for secondary machining of complex 3D surface which selects high-precision 3D vision system as input and industrial robot as effector. This system consists of calibration subsystem, area extraction and identification subsystem, robot path generation subsystem and robot control subsystem, and can solve the localization problem of workpiece whose location is randomized in the 3D space in the robot industry application, and realize the function of machining in the designated area on the surface of random workpiece. The main significance of this system is to expand the robot industry application, and reduce the difficulty in using robots in the machining system. Meanwhile, this system can improve the adaptability of production line, reduce the machining requirements for raw materials, and provide the possibility that single production line can handle multiple products.