d-effector envelop can be determined, which is essential for the robot off-line programming, obstacle autonomous avoidance, etc.
In most cases, the error distribution should be identified, that is, with known end-effector position error to determine the robot kinematic parameter deviation. It is important for the robot calibration and robot production. Using the interval theory to solve this problem inversely is ongoing.
ACKNOWLEDGEMENTS
The research reported in this paper was supported by China Postdoctoral Science Foundation and the National Nature Science Foundation of China (10072014).
Reference
1 Xu W L. Monte Carlo technique for workspace analysis of robot manipulator. Journal of Southeast University, 1990, 20(1): 1-8.
2 Gong C H. Nongeometric error identification and compensation for robotic system by inverse calibration, International Journal of Machine Tools & Manufacturing, 2000,40: 2119-2137.
3 Wang D G. Nonlinear inversion algorithms and their applications (Ph. D Dissertation). Dalian: Dalian university of technology, 2001. (in Chinese)
4 Chen S H, Yang X W. Interval finite element method for beam structures. Finite elements in analysis and design, 2000, 34:75-88.
5 Zhang J Y, Shen S F. Interval analysis method for determining kinematic solutions of mechanisms. Chinese Journal of Mechanical Engineering, 1991,27(2):75-99. (in Chinese)
6 Alefeld G, Herzber英语论文网 【http://www.51lunwen.org】ger J. Introduction to interval computations. Academic Press, New York. 1983.
7 Alefeld G, Claudio D. The basic properties of interval arithmetic, its software realizations and some applications. Computers and Structures, 1998, 67:3-8.
8 Goldberg D E. Genetic algorithms in search, optimization and machine learning. Reading, MA: Addison-Wesley, 1989.
9 Michalewicz Z. Genetic Algorithm+Data Structures=Evolution Programs. Springer-Verlag, Berlin Heidelberg. 1996.
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