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Details for article 1 of 5 found articles
| Title: |
A Stochastic Model for the Analysis of Robots Performance |
| Author: |
Kamrani, Ali K. Weibe, Henry A. Wei, Chiu-Chi |
| Appeared in: |
Journal of design and manufacturing automation |
| Paging: | Volume 1 (2001) nr. 3 pages 175-191 |
| Year: |
2001-07-01 |
| Contents: |
Taguchi-type experimental design and Monte-Carlo simulation are used to perform the operational analysis of industrial robots. The developed models will predict the robot's process capability based on the accuracy and the repeatability errors. A graphical representation of the result is displayed with the measure of performance. There are two major components at the core of this developed system: (1) the ability to define the geometric error and the related kinematics error and (2) the set of charts illustrating the capability of the robot for performing the required tasks. The system is developed in conjunction with a kinematics error model to assist management in making high-risk investment decisions. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 1 of 5 found articles
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