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<title>Van-Thach Do</title>
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<div class="menu-category">Van-Thach Do</div>
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<h1>Van-Thach Do</h1>
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<td align="left"><p>Do Van Thach<br />
Email: thachdovan[at]gmail[dot]com <br />
<a href="https://scholar.google.com/citations?user=er-_AwIAAAAJ&hl=en">Google Scholar</a></p>
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<h2>About me</h2>
<p>I'm currently a senior robotics software engineer at Dyson, Singapore. <br />
Previously, I was a Research Fellow at the HP-NTU Digital Manufacturing Corporate Lab at Nanyang Technological University (NTU), Singapore, worked with Prof. <a href="https://personal.ntu.edu.sg/cuong/">Pham Quang Cuong</a>. <br />
Prior to joining NTU, I obtained a PhD (Best PhD Dissertation Award in Engineering) from the Department of Mechanical Engineering at Kyung Hee University, South Korea, advised by Prof. <a href="https://khu.elsevierpure.com/en/persons/soon-geul-lee">Soon-Geul Lee</a>.</p>
<p>I am deeply passionate about developing and applying innovative algorithms in the field of control and robotics (motion planning and perception) for high mobility systems. Some practical robotic systems I have worked with:</p>
<p><ul>
<li>Ballbot - PhD topic, integrated the entire system, designed and benchmarked novel robust control algorithms, and published papers.</li>
<li>Industrial mecanum robot - PhD task, integrated the entire system, apply navigation stacks, and transferred it to Fusion.ENC CO., South Korea.</li>
<li> Robotic Manipulators (Universal robots, Franka Emika, etc) - postdoctoral research, led a project aimed at proposing efficient motion planning algorithms for post-processing tasks in 3D printing technology, filed patents, published papers, and transferred the findings to HP Singapore.
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<p>Some video demonstrations of my previous works are available <a href="https://tinyurl.com/YTdemos"><font color=steelblue size=+0.0><b>here</b></font></a>.</p>
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<h2>Recent updates</h2>
<p><font color=steelblue size=+0.0><b>July 2023</b></font> <b>Van-Thach Do</b> and Quang-Cuong Pham, “Geometry-Aware Coverage Path Planning for Depowdering on Complex 3D Surfaces” (<a href="https://arxiv.org/pdf/2303.03616">Paper</a> <a href="https://youtu.be/eD5AjJKkEaI">Video</a>), <a href="https://www.ieee-ras.org/publications/ra-l">IEEE Robotics and Automation Letters (RA-L)</a>.</p>
<p><font color=steelblue size=+0.0><b>Feb. 2023</b></font> <b>Do Van Thach</b> and Pham Quang Cuong, “Geometry-Aware Coverages of 3D Complex Surfaces”, Technical Disclosure Commons, HP Inc.</p>
<p><font color=steelblue size=+0.0><b>Oct. 2022</b></font> <b>Do Van Thach</b>, Pham Quang Cuong, and Nicholas Adrian, “Powder Removal Coverages”, (a framework to perform residual powder removal of 3D-printed parts using computer graphics and robotic motion planning)<br />Patent Application: PCT/US2022/046443.</p>
<p><font color=steelblue size=+0.0><b>Aug. 2022</b></font> Nicholas Adrian, <b>Van-Thach Do</b>, and Quang-Cuong Pham, “DFBVS: Deep Feature-Based Visual Servo” (<a href="https://ieeexplore.ieee.org/document/9926560">PDF</a>, <a href="https://www.youtube.com/watch?v=vFAdebgog7k">Video</a>), <a href="https://www.case2022.org/">CASE 2022</a>, presented at CDMX, Mexico.</p>
<p><font color=steelblue size=+0.0><b>Feb. 2022</b></font> Nicholas Adrian, Pham Quang Cuong, Joyce Lim, and <b>Do Van Thach</b>, “Precise robot manipulation using deep feature-based visual serving for inspection or grasping in uncertain environments, to aid automation in 3DP industries where geometries of parts unique and varying”, Technical Disclosure Commons, HP Inc.</p>
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