Xiaohong Tong
Papers
1
Total Citations
2
H-Index
1
About
Xiaohong Tong is a researcher focused on aquatic robotics and environmental monitoring, with particular expertise in the design and control of robotic fish systems for underwater sensing. Their most-cited work, "Design of a monitoring system for robotic fish in underwater environment" (2018, 2 citations), presents an integrated framework for real-time obstacle avoidance and autonomous data collection in water environments. This system enables robotic fish to follow pre-set depths and acquisition points, automatically gathering five key water quality parameters—including water level—without continuous human intervention. Tong's contribution lies in bridging autonomous navigation with practical environmental sensing, offering a scalable solution for remote water quality assessment. While their citation count is modest, this work represents an early step in applying bio-inspired robotics to real-world monitoring challenges, demonstrating how robotic fish can replace manual sampling in hazardous or inaccessible aquatic settings. Tong's research holds promise for applications in pollution tracking, aquaculture management, and underwater infrastructure inspection, where reliable, untethered monitoring systems are increasingly needed.
Research Focus
Key Achievements
Top Papers
- 1Design of a monitoring system for robotic fish in underwater environment2 citations · 2018