Automatic programming of coordinate measuring machines
This paper discusses a planner that generates automatically high-level programs (or plans) for inspecting mechanical parts with coordinate measuring machines. The system's input is a solid model of a toleranced part, and the output a collection of setups, probes and probe orientations associate...
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| creator | Spyridi, A.J. Requicha, A.A.G. |
| description | This paper discusses a planner that generates automatically high-level programs (or plans) for inspecting mechanical parts with coordinate measuring machines. The system's input is a solid model of a toleranced part, and the output a collection of setups, probes and probe orientations associated with the surface features to be inspected. The problem is formulated as state space search. The state contains a collection of inspection plans, represented as a set of 4-tuples of the form (setup, probe, probe direction, surface feature). The initial plans may be invalid, or unnecessarily expensive. The state evolves through the application of operators, which impose geometric and optimization constraints so as to produce a valid and nearly optimal plan. The paper discusses the planner architecture and implementation, and presents experimental results.< > |
| doi_str_mv | 10.1109/ROBOT.1994.351212 |
| format | Conference Proceeding |
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The system's input is a solid model of a toleranced part, and the output a collection of setups, probes and probe orientations associated with the surface features to be inspected. The problem is formulated as state space search. The state contains a collection of inspection plans, represented as a set of 4-tuples of the form (setup, probe, probe direction, surface feature). The initial plans may be invalid, or unnecessarily expensive. The state evolves through the application of operators, which impose geometric and optimization constraints so as to produce a valid and nearly optimal plan. The paper discusses the planner architecture and implementation, and presents experimental results.< ></description><identifier>ISBN: 0818653302</identifier><identifier>ISBN: 9780818653308</identifier><identifier>DOI: 10.1109/ROBOT.1994.351212</identifier><language>eng</language><publisher>IEEE Comput. Soc. Press</publisher><subject>Automatic programming ; Computer graphics ; Coordinate measuring machines ; Education ; Inspection ; Intelligent robots ; Manufacturing processes ; Probes ; Robot kinematics ; State-space methods</subject><ispartof>Proceedings of the 1994 IEEE International Conference on Robotics and Automation, 1994, p.1107-1112 vol.2</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c220t-3c6dbc1bcf1fd5f890ddf72bb5e03820c5dd2b444f86715195e364a775fb7cf33</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/351212$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/351212$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Spyridi, A.J.</creatorcontrib><creatorcontrib>Requicha, A.A.G.</creatorcontrib><title>Automatic programming of coordinate measuring machines</title><title>Proceedings of the 1994 IEEE International Conference on Robotics and Automation</title><addtitle>ROBOT</addtitle><description>This paper discusses a planner that generates automatically high-level programs (or plans) for inspecting mechanical parts with coordinate measuring machines. The system's input is a solid model of a toleranced part, and the output a collection of setups, probes and probe orientations associated with the surface features to be inspected. The problem is formulated as state space search. The state contains a collection of inspection plans, represented as a set of 4-tuples of the form (setup, probe, probe direction, surface feature). The initial plans may be invalid, or unnecessarily expensive. The state evolves through the application of operators, which impose geometric and optimization constraints so as to produce a valid and nearly optimal plan. The paper discusses the planner architecture and implementation, and presents experimental results.< ></description><subject>Automatic programming</subject><subject>Computer graphics</subject><subject>Coordinate measuring machines</subject><subject>Education</subject><subject>Inspection</subject><subject>Intelligent robots</subject><subject>Manufacturing processes</subject><subject>Probes</subject><subject>Robot kinematics</subject><subject>State-space methods</subject><isbn>0818653302</isbn><isbn>9780818653308</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1994</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tKAzEYRgMiqLUPoKt5gRnz555lLWqFwoDUdcm1RsykJNOFb69Sv82BszjwIXQHeADA-uFtfBx3A2jNBsqBALlAN1iBEpxSTK7QsrVP_DvOlRT6GonVaS7ZzMl1x1oO1eScpkNXYudKqT5NZg5dDqad6p_Pxn2kKbRbdBnNVwvLfy7Q-_PTbr3pt-PL63q17R0heO6pE946sC5C9Dwqjb2PkljLA6aKYMe9J5YxFpWQwEHzQAUzUvJopYuULtD9uZtCCPtjTdnU7_35Gf0BIEBE9g</recordid><startdate>1994</startdate><enddate>1994</enddate><creator>Spyridi, A.J.</creator><creator>Requicha, A.A.G.</creator><general>IEEE Comput. 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Press</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1994</creationdate><title>Automatic programming of coordinate measuring machines</title><author>Spyridi, A.J. ; Requicha, A.A.G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c220t-3c6dbc1bcf1fd5f890ddf72bb5e03820c5dd2b444f86715195e364a775fb7cf33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Automatic programming</topic><topic>Computer graphics</topic><topic>Coordinate measuring machines</topic><topic>Education</topic><topic>Inspection</topic><topic>Intelligent robots</topic><topic>Manufacturing processes</topic><topic>Probes</topic><topic>Robot kinematics</topic><topic>State-space methods</topic><toplevel>online_resources</toplevel><creatorcontrib>Spyridi, A.J.</creatorcontrib><creatorcontrib>Requicha, A.A.G.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Spyridi, A.J.</au><au>Requicha, A.A.G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Automatic programming of coordinate measuring machines</atitle><btitle>Proceedings of the 1994 IEEE International Conference on Robotics and Automation</btitle><stitle>ROBOT</stitle><date>1994</date><risdate>1994</risdate><spage>1107</spage><epage>1112 vol.2</epage><pages>1107-1112 vol.2</pages><isbn>0818653302</isbn><isbn>9780818653308</isbn><abstract>This paper discusses a planner that generates automatically high-level programs (or plans) for inspecting mechanical parts with coordinate measuring machines. The system's input is a solid model of a toleranced part, and the output a collection of setups, probes and probe orientations associated with the surface features to be inspected. The problem is formulated as state space search. The state contains a collection of inspection plans, represented as a set of 4-tuples of the form (setup, probe, probe direction, surface feature). The initial plans may be invalid, or unnecessarily expensive. The state evolves through the application of operators, which impose geometric and optimization constraints so as to produce a valid and nearly optimal plan. The paper discusses the planner architecture and implementation, and presents experimental results.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ROBOT.1994.351212</doi></addata></record> |
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| identifier | ISBN: 0818653302 |
| ispartof | Proceedings of the 1994 IEEE International Conference on Robotics and Automation, 1994, p.1107-1112 vol.2 |
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| language | eng |
| recordid | cdi_ieee_primary_351212 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Automatic programming Computer graphics Coordinate measuring machines Education Inspection Intelligent robots Manufacturing processes Probes Robot kinematics State-space methods |
| title | Automatic programming of coordinate measuring machines |
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