Abstract
Determination of the location and orientation of objects in the robot workspace is a fundamental function of manufacturing automation. This problem is solved by using a robot vision system with a camera mounted on the robot end-effector with a known hand-eye transformation. In this case, a viable solution to deal with the complexity of calibration is of necessity, including the calibration of internal and external parameters associated with the camera as well as the calibration of the hand-eye parameters. To this end, the paper presents a simple and efficient method of calibration for a camera-on-hand system, where the internal and external parameters of a 2D camera as well as the hand-eye parameters are simultaneously calibrated. The method is based on the 3D-to-2D projections of a calibrationblock with minimum two pure translations and two pure rotations of hand motions. Being evaluated on simulation data and real robot vision system indicate that our method can work stably with different noise and number of stations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
