Author:
Liu Yong,Shi Dingbing,Baard Skaar Steven
Abstract
Purpose
– Vision-based positioning without camera calibration, using uncalibrated industrial robots, is a challenging research problem. To address the issue, an uncalibrated industrial robot real-time positioning system has been developed in this paper. The paper aims to discuss these issues.
Design/methodology/approach
– The software and hardware of this system as well as the methodology are described. Direct and inverse kinematics equations that map joint space into “camera space” are developed. The camera-space manipulation (CSM) algorithm has been employed and improved with varying weights on camera samples of the robot end effector, and the improved CSM is named VW-CSM. The experiments of robot positioning have been conducted using the traditional CSM algorithm and the varying-weight CSM (VW-CSM) algorithm, respectively, both without separate camera calibration. The impact on the accuracy and real-time performance of the system caused by different weights has been examined and discussed.
Findings
– The experimental results show that the accuracy and real-time performance of the system with the VW-CSM algorithm is better than the one with using the original CSM algorithm, and the impact on the accuracy and real-time performance of the system caused by different weights has been revealed.
Originality/value
– The accuracy and real-time performance of the system with the VW-CSM algorithm is verified. These results prove that the developed system using the VW-CSM algorithm can satisfy the requirements of most industrial applications and can be widely used in the field of industrial robots.
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering
Reference15 articles.
1. C'ardenas, A.
,
Seelinger, M.
,
Goodwine, B.
and
Skaar, S.
(2003), “Vision-based control of a mobile base and on-board arm”, Int. J. Robotics Res., Vol. 9 No. 22, pp. 677-698.
2. Corke, P.I.
and
Hutchinson, S.
(2001), “A new partitioned approach to image based visual servo control”, IEEE Trans. Robot. Automation, Vol. 17 No. 4, pp. 507-515.
3. Corke, P.I.
,
Spindler, F.
and
Chaumette, F.
(2009), “Combining Cartesian and polar coordinates in IBVS”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5962-5967.
4. Denavit, J.
and
Hartenberg, R.S.
(1955), “A kinematic notation for lower pair mechanisms based on matrices”, J. Appl. Mech. ASME, Vol. 22, pp. 215-221.
5. Gonzalez-Galvan, E.J.
,
Skaar, S.B.
,
Korde, U.A.
and
Chen, W.Z.
(1997), “Application of a precision enhancing measure in 3-D rigid-body positioning using camera-space manipulation”, Int. J. Robotics Res., Vol. 16 No. 2, pp. 240-257.
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