Andrew Wing Keung To
Papers
7
Total Citations
93
H-Index
5
About
Andrew Wing Keung To is a robotics and autonomous systems researcher whose work sits at the intersection of industrial automation, inspection robotics, and machine perception. His research focuses on developing intelligent robotic solutions for hazardous maintenance tasks — particularly in environments that pose significant risks to human workers, such as underwater infrastructure and elevated steel structures. To's most impactful contributions include the development of the SPIR (Submersible Pylon Inspection Robot), an autonomous underwater robot designed for bridge pile cleaning and condition assessment, which has garnered 21 citations and represents a meaningful advance in protecting workers from dangerous water currents and high-pressure cleaning operations. His 2017 work on real-time fault diagnosis during robotic grit-blasting operations stands as his most cited contribution with 26 citations, demonstrating his commitment to making industrial automation more reliable and self-aware. Across his career, To has also made notable contributions to surface-type classification using RGB-D sensing, 3D map-building for bridge inspection robots, and image segmentation for material recognition — collectively accumulating over 90 citations. His body of work reflects a consistent and practical vision: deploying autonomous robots where human presence is dangerous, inefficient, or simply impractical.
Research Focus
Key Achievements
Top Papers
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- 3Surface-Type Classification Using RGB-D14 citations · 2014
- 4Underwater Robots for Cleaning and Inspection of Underwater Structures14 citations · 2023
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