Ting Nguong Seng
Papers
1
Total Citations
40
H-Index
1
About
Ting Nguong Seng is a leading researcher in underwater robotics and autonomous systems, with a particular focus on vision-based navigation and inspection technologies. His most-cited work, “Visual feedback–based heading control of autonomous underwater vehicle for pipeline corrosion inspection” (2017, 40 citations), addresses a critical challenge in deepwater environments: enabling autonomous underwater vehicles (AUVs) to perform precise pipeline corrosion inspections without human intervention. By developing a visual feedback control system that reduces computational demands while maintaining accuracy, Seng has made significant contributions to the practical deployment of AUVs for offshore infrastructure maintenance. His research bridges the gap between theoretical control systems and real-world underwater imaging constraints, offering solutions that enhance the safety and efficiency of deepwater operations. Seng’s work is particularly notable for its emphasis on low-computation, high-reliability approaches, making autonomous inspection more accessible for industry applications. With his focus on integrating computer vision with robotic control, he continues to influence the next generation of underwater inspection technologies, helping to reduce risks for human divers and improve the longevity of critical subsea assets.
Research Focus
Key Achievements
Top Papers
- 1