THESIS
2017
ix, 66 pages : illustrations ; 30 cm
Abstract
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.
Post a Comment