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<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
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<title>Nikolas Lamb</title>
<link>https://nikwl.github.io/</link>
<description>Recent content on Nikolas Lamb</description>
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<language>en-us</language>
<copyright>&copy; {year}</copyright>
<lastBuildDate>Wed, 24 Apr 2024 00:00:00 +0000</lastBuildDate>
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<title>Automating the Repair of Broken Objects</title>
<link>https://nikwl.github.io/publication/2024-thesis/</link>
<pubDate>Wed, 24 Apr 2024 00:00:00 +0000</pubDate>
<guid>https://nikwl.github.io/publication/2024-thesis/</guid>
<description></description>
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<title>Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts</title>
<link>https://nikwl.github.io/publication/2023-fantastic-breaks/</link>
<pubDate>Sat, 01 Apr 2023 00:00:00 +0000</pubDate>
<guid>https://nikwl.github.io/publication/2023-fantastic-breaks/</guid>
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<title>Pix2Repair: Implicit Shape Restoration from Images</title>
<link>https://nikwl.github.io/publication/2023-pix2repair/</link>
<pubDate>Wed, 01 Mar 2023 00:00:00 +0000</pubDate>
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<title>Reinforcement-Learning Based Robotic Assembly of Fractured Objects Using Visual and Tactile Information</title>
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<pubDate>Wed, 01 Feb 2023 00:00:00 +0000</pubDate>
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<title>Studying How Object Handoff Orientations Relate to Subject Preferences on Handover</title>
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<title>DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair</title>
<link>https://nikwl.github.io/publication/2022-deepjoin/</link>
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<title>DeepMend: Learning Occupancy Functions to Represent Shape for Repair</title>
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<title>MendNet: Restoration of Fractured Shapes Using Learned Occupancy Functions</title>
<link>https://nikwl.github.io/publication/2022-mendnet/</link>
<pubDate>Fri, 01 Jul 2022 00:00:00 +0000</pubDate>
<guid>https://nikwl.github.io/publication/2022-mendnet/</guid>
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<title>Using Learned Visual and Geometric Features to Retrieve Complete 3D Proxies for Broken Objects</title>
<link>https://nikwl.github.io/publication/2021-learned-visual-and-geometric/</link>
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<title>Automated Reconstruction of Smoothly Joining 3D Printed Restorations to Fix Broken Objects</title>
<link>https://nikwl.github.io/publication/2019-automated-reconstruction/</link>
<pubDate>Sun, 16 Jun 2019 00:00:00 +0000</pubDate>
<guid>https://nikwl.github.io/publication/2019-automated-reconstruction/</guid>
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<title>A Strawberry Detection System Using Convolutional Neural Networks</title>
<link>https://nikwl.github.io/publication/2018-strawberry-detection-system/</link>
<pubDate>Mon, 10 Dec 2018 00:00:00 +0000</pubDate>
<guid>https://nikwl.github.io/publication/2018-strawberry-detection-system/</guid>
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<title>Multi-Camera Microenvironment to Capture Multi-View Time-Lapse Videos for 3D Analysis of Aging Objects</title>
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<pubDate>Mon, 05 Feb 2018 00:00:00 +0000</pubDate>
<guid>https://nikwl.github.io/publication/2018-multicamera-microenvironment/</guid>
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<title>Programmatic 3D Printing of a Revolving Camera Track to Automatically Capture Dense Images for 3D Scanning of Objects</title>
<link>https://nikwl.github.io/publication/2018-revolving-camera-track/</link>
<pubDate>Mon, 05 Feb 2018 00:00:00 +0000</pubDate>
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<title>Spatiotemporal 3D Models of Aging Fruit From Multi-View Time-Lapse Videos</title>
<link>https://nikwl.github.io/publication/2018-spatiotemporal-aging-fruit/</link>
<pubDate>Mon, 05 Feb 2018 00:00:00 +0000</pubDate>
<guid>https://nikwl.github.io/publication/2018-spatiotemporal-aging-fruit/</guid>
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