Title :
Calibrating a Cartesian robot with eye-on-hand configuration independent of eye-to-hand relationship
Author :
Lenz, Reimar K. ; Tsai, Roger Y.
Author_Institution :
Lehrstuhl fuer Nachrichtentech., Tech. Univ., Munchen, West Germany
fDate :
9/1/1989 12:00:00 AM
Abstract :
A new approach is described for geometric calibration of Cartesian robots. This is part of a set of procedures for real-time 3-D robotics eye, eye-to-hand, and hand calibration which uses a common setup and calibration object, common coordinate systems, matrices, vectors, symbols, and operations and is especially suited to machine vision systems. The robot makes a series of automatically planned movement with a camera rigidly mounted at the gripper. At the end of each move, it takes a total of 90 ms to grab an image, extract image feature coordinates, and perform camera-extrinsic calibration. After the robot finishes all the movements, it takes only a few milliseconds to do the calibration. The key of this technique is that only one rotary joint is moving for each movement. This allows the calibration parameters to be fully decoupled, and converts a multidimensional problem into a series of one-dimensional problems. Another key is that eye-to-hand transformation is not needed at all during the computation
Keywords :
calibration; computer vision; position control; robots; 3D robot vision; Cartesian robots; geometric calibration; image feature extraction; machine vision; rotary joint; Calibration; Cameras; Feature extraction; Grippers; Image converters; Machine vision; Real time systems; Robot kinematics; Robot vision systems; Robotics and automation;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on