A computer-aided probing strategy for workpiece localization

Author

Xiong, Zhenhua ; Wang, Michael Yu ; Li, Zexiang

Author_Institution

Robotics Inst., Shanghai Jiao Tong Univ., China

Volume

3

fYear

2003

fDate

14-19 Sept. 2003

Firstpage

3941

Abstract

This paper presents an optimal planning problem for workpiece measurement. Two sequential optimization algorithms are introduced to find maximum determinant solutions. Then, based on a reliability analysis of workpiece localization and the sequential optimization algorithms, a computer-aided probing strategy is proposed. With this strategy, given the desired translation and orientation error bounds and desired confidence limit, we can experimentally find the least number of points needed to measure. Simulation results show the efficiency of the computer-aided probing strategy.

Keywords

computer aided manufacturing; machining; optimisation; planning (artificial intelligence); position control; reliability; computer aided probing strategy; determinant solutions; optimal planning problem; orientation error bounds; reliability analysis; sequential optimization algorithms; translation error bounds; workpiece localization; workpiece measurement; Algorithm design and analysis; Computational modeling; Computer aided manufacturing; Computer errors; Computer simulation; Coordinate measuring machines; Probes; Sampling methods; Strategic planning; Virtual manufacturing;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on

ISSN

1050-4729

Print_ISBN

0-7803-7736-2

Type

conf

DOI

10.1109/ROBOT.2003.1242202

Filename

1242202