Xiao Peng
Papers
1
Total Citations
42
H-Index
1
About
Xiao Peng is a leading researcher in marine robotics and artificial intelligence, with a focus on autonomous underwater systems and biofouling management. His most notable contribution is the development of an underwater cleaning robot that leverages deep learning for real-time identification and mapping of biofouling, a critical challenge for maritime infrastructure and vessel maintenance. This work, published in 2023 and garnering 42 citations, demonstrates his ability to integrate computer vision, robotic control, and environmental monitoring into practical, high-impact solutions. Peng’s research addresses the intersection of robotics and marine biology, offering scalable methods to reduce fuel consumption, prevent corrosion, and protect aquatic ecosystems. His innovative approach has positioned him as a key figure in the emerging field of intelligent underwater maintenance, with potential applications in offshore energy, shipping, and aquaculture. By combining rigorous algorithmic design with field-tested robotic platforms, Peng continues to advance the efficiency and autonomy of marine operations, making his work essential reading for students and researchers in robotics, AI, and ocean engineering.
Research Focus
Key Achievements
Top Papers
- 1