DocumentCode
1537473
Title
Accessibility analysis for planning of dimensional inspection with coordinate measuring machines
Author
Spitz, Steven N. ; Spyridi, Antonia J. ; Requicha, Aristides A.G.
Author_Institution
Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
Volume
15
Issue
4
fYear
1999
fDate
8/1/1999 12:00:00 AM
Firstpage
714
Lastpage
727
Abstract
Computer-controlled dimensional inspection is typically performed with coordinate measuring machines (CMMs), which are very precise Cartesian robots that use touch probes to measure the coordinates of points on a workpiece´s surfaces. Automatic planning and programming of inspection tasks with a CMM involve spatial reasoning, to determine how to orient the part on the CMM, which probes to use, how to orient the probes, and so on. This paper introduces the notions of accessibility and approachability, which are important for inspection planning, and describes two sets of implemented algorithms for computing accessibility information. One of these sets of algorithms performs exact computations on polyhedral objects and is relatively slow, whereas the other uses discrete approximations and achieves high speed by exploiting standard computer graphics hardware. The discretized algorithm has been tested on real-world parts, and is sufficiently fast for industrial applications
Keywords
CAD/CAM; computational geometry; industrial robots; inspection; manufacturing processes; path planning; quality control; robot programming; spatial reasoning; CAD/CAM; CMM; Cartesian robots; accessibility analysis; computational geometry; configuration space; coordinate measuring machines; dimensional inspection; direction cones; planning; programming; spatial reasoning; Automatic programming; Computer graphics; Coordinate measuring machines; High performance computing; Inspection; Performance evaluation; Probes; Robot kinematics; Robot programming; Robotics and automation;
fLanguage
English
Journal_Title
Robotics and Automation, IEEE Transactions on
Publisher
ieee
ISSN
1042-296X
Type
jour
DOI
10.1109/70.782025
Filename
782025
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