Papers

6

Total Citations

44

H-Index

4

About

Tat-Hean Gan is a researcher specializing in robotics, non-destructive testing (NDT), and structural integrity assessment for offshore and subsea infrastructure. His work sits at a compelling intersection of advanced robotics engineering and industrial safety, with a particular focus on developing autonomous inspection platforms for some of the most challenging marine environments on earth. Gan's most significant contributions center on the design and prototyping of magnetic adhesion climbing robots capable of navigating the complex geometries of mooring chains — critical components that anchor floating offshore platforms against relentless tidal and storm forces. His 2018 work on an adaptable legged-magnetic tracked-wheel platform (15 citations) represents a notable advancement in a field he helped pioneer, addressing the operational complexity that had long hindered mooring chain robotics. Complementing this hardware focus, he has also applied Full Matrix Capture ultrasonics to automate structural health monitoring of these chains. Beyond mooring systems, Gan has contributed to subsea flexible riser inspection robotics and petrochemical storage tank assessment using NDT robots, demonstrating a broad commitment to reducing human risk and inspection costs across the energy sector. With a growing citation record spanning robotics design, simulation, and advanced sensing, Gan's research delivers practical tools with real industrial safety implications.

Research Focus

Key Achievements

4
H-Index
6
Papers
44
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Adaptable legged-magnetic adhesion tracked wheel robotic platform for misaligned mooring chain climbing and inspection
15 citations · 2018
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: The Welding Institute, Granta Design (United Kingdom), Plant Integrity (United Kingdom)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago