Industrial robots are state-of-the-art manipulators designed to manipulate or operate the workpieces through programmed arm motions and end-effector actions. Industrial robot applications show that sensing technologies are able to provide industrial robots with improved operational flexibility and intelligence. Among many approttcbes, machine vision bas been a promising solution for acquiring the workpiece information such as shape, position, etc. for an industrial robot. The challenge, however, is bow to integrate vision measurements in robot programs. This paper uses examples to address the concepts and procedures embedded in 2-dimensional (2D) vision-guided industrial robot operations, The discussion includes calibrating vision and robot systems, measuring workpiece positions, and programming industrial robot operations with the vision data. Tbe result shows that vision-guided robot operations require the robot programmer to not only set up accurate reference frames in both vision and robot systems but also apply vision measurements as robot frame transformations in robot programs. The successful application of a 2D vision system allows an industrial robot to perform pre-defined robot operations to vision-identified workpieces within the required accuracy, resulting in enhanced robot intelligence in robot work environments.
|Number of pages||6|
|Journal||Journal of Engineering Technology|
|State||Published - Mar 2009|