Van-Thach Do
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Van-Thach Do

Van-Thach Do 

Do Van Thach
Email: thachdovan[at]gmail[dot]com
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About me

I'm currently a senior robotics software engineer at Dyson, Singapore.
Previously, I was a Research Fellow at the HP-NTU Digital Manufacturing Corporate Lab at Nanyang Technological University (NTU), Singapore, worked with Prof. Pham Quang Cuong.
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. Soon-Geul Lee.

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:

  • Ballbot - PhD topic, integrated the entire system, designed and benchmarked novel robust control algorithms, and published papers.
  • Industrial mecanum robot - PhD task, integrated the entire system, apply navigation stacks, and transferred it to Fusion.ENC CO., South Korea.
  • 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.

Some video demonstrations of my previous works are available here.

Recent updates

July 2023 Van-Thach Do and Quang-Cuong Pham, “Geometry-Aware Coverage Path Planning for Depowdering on Complex 3D Surfaces” (Paper Video), IEEE Robotics and Automation Letters (RA-L).

Feb. 2023 Do Van Thach and Pham Quang Cuong, “Geometry-Aware Coverages of 3D Complex Surfaces”, Technical Disclosure Commons, HP Inc.

Oct. 2022 Do Van Thach, 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)
Patent Application: PCT/US2022/046443.

Aug. 2022 Nicholas Adrian, Van-Thach Do, and Quang-Cuong Pham, “DFBVS: Deep Feature-Based Visual Servo” (PDF, Video), CASE 2022, presented at CDMX, Mexico.

Feb. 2022 Nicholas Adrian, Pham Quang Cuong, Joyce Lim, and Do Van Thach, “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.