Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study
The alignment of optical systems is a critical step in their manufacture. Alignment normally requires considerable knowledge and expertise of skilled operators. The automation of such processes has several potential advantages, but requires additional resource and upfront costs. Through a case study...
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| creator | Robb, David A Risbridger, Donald Mills, Ben Rakhmatulin, Ildar Kong, Xianwen Erden, Mustafa Esser, M. J. Daniel Carter, Richard M Chantler, Mike J |
| description | The alignment of optical systems is a critical step in their manufacture.
Alignment normally requires considerable knowledge and expertise of skilled
operators. The automation of such processes has several potential advantages,
but requires additional resource and upfront costs. Through a case study of a
simple two mirror system we identify and examine three different automation
approaches. They are: artificial neural networks; practice-led, which mimics
manual alignment practices; and design-led, modelling from first principles. We
find that these approaches make use of three different types of knowledge 1)
basic system knowledge (of controls, measurements and goals); 2) behavioural
skills and expertise, and 3) fundamental system design knowledge. We
demonstrate that the different automation approaches vary significantly in
human resources, and measurement sampling budgets. This will have implications
for practitioners and management considering the automation of such tasks. |
| doi_str_mv | 10.48550/arxiv.2409.11090 |
| format | Article |
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Alignment normally requires considerable knowledge and expertise of skilled
operators. The automation of such processes has several potential advantages,
but requires additional resource and upfront costs. Through a case study of a
simple two mirror system we identify and examine three different automation
approaches. They are: artificial neural networks; practice-led, which mimics
manual alignment practices; and design-led, modelling from first principles. We
find that these approaches make use of three different types of knowledge 1)
basic system knowledge (of controls, measurements and goals); 2) behavioural
skills and expertise, and 3) fundamental system design knowledge. We
demonstrate that the different automation approaches vary significantly in
human resources, and measurement sampling budgets. This will have implications
for practitioners and management considering the automation of such tasks.</description><identifier>DOI: 10.48550/arxiv.2409.11090</identifier><language>eng</language><subject>Computer Science - Learning ; Computer Science - Robotics ; Computer Science - Systems and Control</subject><creationdate>2024-09</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2409.11090$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2409.11090$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Robb, David A</creatorcontrib><creatorcontrib>Risbridger, Donald</creatorcontrib><creatorcontrib>Mills, Ben</creatorcontrib><creatorcontrib>Rakhmatulin, Ildar</creatorcontrib><creatorcontrib>Kong, Xianwen</creatorcontrib><creatorcontrib>Erden, Mustafa</creatorcontrib><creatorcontrib>Esser, M. J. Daniel</creatorcontrib><creatorcontrib>Carter, Richard M</creatorcontrib><creatorcontrib>Chantler, Mike J</creatorcontrib><title>Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study</title><description>The alignment of optical systems is a critical step in their manufacture.
Alignment normally requires considerable knowledge and expertise of skilled
operators. The automation of such processes has several potential advantages,
but requires additional resource and upfront costs. Through a case study of a
simple two mirror system we identify and examine three different automation
approaches. They are: artificial neural networks; practice-led, which mimics
manual alignment practices; and design-led, modelling from first principles. We
find that these approaches make use of three different types of knowledge 1)
basic system knowledge (of controls, measurements and goals); 2) behavioural
skills and expertise, and 3) fundamental system design knowledge. We
demonstrate that the different automation approaches vary significantly in
human resources, and measurement sampling budgets. This will have implications
for practitioners and management considering the automation of such tasks.</description><subject>Computer Science - Learning</subject><subject>Computer Science - Robotics</subject><subject>Computer Science - Systems and Control</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNqFjrEKwjAURbM4iPoBTr4fsKbagnUrRVFw0u4ltK8m0iTlJRX799bi7nThcA8cxpYhD6J9HPONoLd6BduIJ0EY8oRP2TOXhAhp25IVpUQH3oKXA-m81cIra8DWcBUOCe6986ghbdTDaDQehKkgl6gIbuhsRyXCRbeNKkfRHSCFbDDh7ruqn7NJLRqHi9_O2Op0zLPzeqwqWlJaUF9864qxbvf_8QH_j0Vy</recordid><startdate>20240917</startdate><enddate>20240917</enddate><creator>Robb, David A</creator><creator>Risbridger, Donald</creator><creator>Mills, Ben</creator><creator>Rakhmatulin, Ildar</creator><creator>Kong, Xianwen</creator><creator>Erden, Mustafa</creator><creator>Esser, M. J. Daniel</creator><creator>Carter, Richard M</creator><creator>Chantler, Mike J</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20240917</creationdate><title>Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study</title><author>Robb, David A ; Risbridger, Donald ; Mills, Ben ; Rakhmatulin, Ildar ; Kong, Xianwen ; Erden, Mustafa ; Esser, M. J. Daniel ; Carter, Richard M ; Chantler, Mike J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2409_110903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Learning</topic><topic>Computer Science - Robotics</topic><topic>Computer Science - Systems and Control</topic><toplevel>online_resources</toplevel><creatorcontrib>Robb, David A</creatorcontrib><creatorcontrib>Risbridger, Donald</creatorcontrib><creatorcontrib>Mills, Ben</creatorcontrib><creatorcontrib>Rakhmatulin, Ildar</creatorcontrib><creatorcontrib>Kong, Xianwen</creatorcontrib><creatorcontrib>Erden, Mustafa</creatorcontrib><creatorcontrib>Esser, M. J. Daniel</creatorcontrib><creatorcontrib>Carter, Richard M</creatorcontrib><creatorcontrib>Chantler, Mike J</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Robb, David A</au><au>Risbridger, Donald</au><au>Mills, Ben</au><au>Rakhmatulin, Ildar</au><au>Kong, Xianwen</au><au>Erden, Mustafa</au><au>Esser, M. J. Daniel</au><au>Carter, Richard M</au><au>Chantler, Mike J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study</atitle><date>2024-09-17</date><risdate>2024</risdate><abstract>The alignment of optical systems is a critical step in their manufacture.
Alignment normally requires considerable knowledge and expertise of skilled
operators. The automation of such processes has several potential advantages,
but requires additional resource and upfront costs. Through a case study of a
simple two mirror system we identify and examine three different automation
approaches. They are: artificial neural networks; practice-led, which mimics
manual alignment practices; and design-led, modelling from first principles. We
find that these approaches make use of three different types of knowledge 1)
basic system knowledge (of controls, measurements and goals); 2) behavioural
skills and expertise, and 3) fundamental system design knowledge. We
demonstrate that the different automation approaches vary significantly in
human resources, and measurement sampling budgets. This will have implications
for practitioners and management considering the automation of such tasks.</abstract><doi>10.48550/arxiv.2409.11090</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Learning Computer Science - Robotics Computer Science - Systems and Control |
| title | Three Approaches to the Automation of Laser System Alignment and Their Resource Implications: A Case Study |
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