<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T22:09:31Z</responseDate><request verb="GetRecord" identifier="oai:digital.lib.washington.edu:1773/51158" metadataPrefix="dim">https://digital.lib.washington.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:digital.lib.washington.edu:1773/51158</identifier><datestamp>2026-02-15T22:40:27Z</datestamp><setSpec>com_1773_4888</setSpec><setSpec>col_1773_4915</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Shapiro, Linda</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" authority="8e661669-4e48-4fd9-a7dd-5adfb7dfad2a" confidence="300">Guo, James</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2024-02-12T23:40:29Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2024-02-12T23:40:29Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2024-02-12</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2023</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="other">Guo_washington_0250O_26491.pdf</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1773/51158</dim:field>
   <dim:field mdschema="dc" element="description">Thesis (Master's)--University of Washington, 2023</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">The thesis presents an innovative approach to automating aircraft maintenance processes,particularly in paint and coating removal. It introduces a “Scan to Plan” system that combines
LiDAR scanning and laser cameras with robotic arms for precision paint ablation. The
work emphasizes the development of a modular system design, allowing for flexible adaptation
to various industrial applications. The prototype demonstrates significant accuracy in
scanning and paint ablation on curved aluminum surfaces, highlighting its applicability in
laser surface operations beyond paint removal, such as micromachining and cladding. The
thesis also explores potential enhancements to the system and its broader applications in industrial
automation, paving the way for more efficient and precise maintenance procedures.</dim:field>
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   <dim:field mdschema="dc" element="language" qualifier="iso">en_US</dim:field>
   <dim:field mdschema="dc" element="rights">none</dim:field>
   <dim:field mdschema="dc" element="subject">Computer Vison</dim:field>
   <dim:field mdschema="dc" element="subject">Laser Ablation</dim:field>
   <dim:field mdschema="dc" element="subject">Robotics</dim:field>
   <dim:field mdschema="dc" element="subject">Engineering</dim:field>
   <dim:field mdschema="dc" element="subject" qualifier="other">Electrical and computer engineering</dim:field>
   <dim:field mdschema="dc" element="title">Development and Application of an Automated “Scan to Plan” System for Precision Paint Ablation Using LiDAR and Laser Cameras on Robotic Arms</dim:field>
   <dim:field mdschema="dc" element="type">Thesis</dim:field>
   <dim:field mdschema="dc" element="embargo" qualifier="terms">Open Access</dim:field>
   <dim:field mdschema="others" element="access-status">open.access</dim:field>
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