THE CORRECTION OF THE MEASURING ACCURACY OF THE INDUSTRIAL ROBOT BY USING ARTIFICIAL NEURAL NETWORKS |
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| Jerzy Sładek, Grzegorz Sokal |
- Abstract:
- Using industrial robots to the measurement tasks in the field of multicoordinate metrology is worth the interest. But it demands performing adaptation process, correcting the measuring accuracy if needed and determining the field of measuring tasks. During the adaptation process it is important to perform analysis of the accuracy of built measurement system. In the case of lack of accuracy it is indispensable to correct this values. The use of software methods like ANN (Artifical Neural Networks) seems to be expedient, because it is not the mechanical interference. The point of the described method is the determination of error in the given spaces. Then it is possible to built the accuracy model of whole robots space.
- Keywords:
- industrial robot, measurement
- Download:
- PWC-2006-TC17-005u.pdf
- DOI:
- -
- Event details
- Event name:
- XVIII IMEKO World Congress
- Title:
Metrology for a Sustainable Development
- Place:
- Rio de Janeiro, BRAZIL
- Time:
- 17 September 2006 - 22 September 2006