Analysis of Tolerance for Manufacturing Geometric Objects from Sensed Data
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Authors
Sobh, Tarek M.
Zhu, Xiao-Hong
Bruderlin, Beat
Mihali, Raul
Issue Date
2000-03-08
Type
Article
Language
en_US
Keywords
Engineering , Manufacturing , Machine parts , Sensed data , Geometric objects
Alternative Title
Abstract
In this work we address the problem of manufacturing machine parts from sensed data. Constructing geometric models for objects from sensed data is the intermediate step in a reverse engineering manufacturing system. Sensors are usually inaccurate, providing uncertain sensed information. We construct geometric entities with uncertainty models from noisy measurements for the objects under consideration, and proceed to do reasoning on the uncertain geometries, thus, adding robustness to the construction of geometries from sensed data.
Description
Preprint of "Analysis of Sensing Errors for Manufacturing Geometric Objects from Sensed Data". The final publication is available at link.springer.com.
Citation
T. M. Sobh, X. Zhu, B. Bruderlin, R. Mihali, "Analysis of Tolerance for Manufacturing Geometric Objects from Sensed Data," Journal of Intelligent and Robotic Systems, vol. 30, Mar. 2000.
Publisher
Kluwer Academic Publishers