Robot Calibration Using an Automatic Theodolite
Driels, Morris R.
Pathre, Uday S.
MetadataShow full item record
The Vision Based Automatic Theodolite (VBAT) is an automatic partial pose measurement system for robot calibration. It uses low resolution rotation stages and resolution enhancement from a vision system to determine the line-of-sight to a spherical illuminated target. Automatic tracking, focusing, and centring provide the calibration system with speed, reliability, and repeatability. A kinematic model of the VBAT is described which includes both the mechanical parts of the system and the optics, using a modified Denavit-Hartenberg approach. All parameters in the VBA T model are identified and embedded into the system controller producing an instrument of 2 arc second accuracy. The system is then used in a conventional manner to calibrate a six degree of freedom PUMA robot, and the results compared to another calibration of the same arm by a coordinate measuring machine with repeatability and accuracy of 0.02 ram. The calibration using the VBA T enhances the accuracy of the PUMA to within 0.2 mm of that produced by the CMM calibration, compared to an accuracy of 14 mm prior to calibration.
Showing items related by title, author, creator and subject.
Le, Charles Khang Duy (Monterey, California. Naval Postgraduate School, 2007-09);This thesis investigates the feasibility of developing an automatic web-based sensor calibration system with four main objectives. The first objective was to reduce the number of personnel required to calibrate shipboard ...
Walliser, James C. (Monterey, California. Naval Postgraduate School, 2011-06);Automated systems perform functions that were previously executed by a human. When using automation, the role of the human changes from operator to supervisor. For effective operation, the human must appropriately calibrate ...
Edwards, Ronald L. (Monterey, California. Naval Postgraduate School, 1992-06);A six degree of freedom robot manipulator arm, a PUMA 560, is calibrated using random subsets of available experimental calibration data. Some of these subsets produce good calibration results motivating the search for ...