Xiongfei Geng
Papers
1
Total Citations
2
H-Index
1
About
Xiongfei Geng specializes in the intersection of bionic robotics and environmental monitoring, with a primary focus on developing portable, bio-inspired systems for water quality assessment. His most notable contribution is the design and implementation of a pollution monitoring system for waterway areas, centered on a bionic robotic fish platform. This work addresses a critical gap in environmental sensing: while large autonomous underwater vehicles (AUVs) are effective in open oceans, they are often impractical for shallow, confined lake and reservoir areas. Geng’s robotic fish system offers a compact, maneuverable alternative, integrating underwater sensing with a shore-based remote monitoring and data analysis interface. Although his citation count is currently modest—with his key 2022 paper garnering 2 citations—the work represents an innovative step toward accessible, real-time pollution tracking in tourist waterways and ecologically sensitive zones. Geng’s research is particularly relevant for students and engineers interested in biomimetic design, low-cost environmental IoT, and the practical deployment of robotics in challenging aquatic environments. His approach highlights the potential of small-scale, agile platforms to democratize water quality monitoring.
Research Focus
Key Achievements
Top Papers
- 1