Zuxin Zhao
Papers
2
Total Citations
9
H-Index
2
About
Zuxin Zhao is a rising researcher in underwater robotics, with a focus on bionic robotic fish and autonomous underwater perception. Their work bridges the gap between bio-inspired locomotion and real-time environmental awareness. In a 2023 study, Zhao developed an orientation control and target tracking system for bionic robotic fish using Active Disturbance Rejection Control (ADRC), supported by computational fluid dynamics (CFD) analysis to model caudal fin hydrodynamics for both straight and turning maneuvers. This work, with 5 citations, provides a robust closed-loop control strategy for agile underwater vehicles. More recently, in 2024, Zhao introduced a lightweight underwater object detection algorithm based on YOLOv8, enhanced with adaptive image preprocessing to improve visibility in murky waters without heavy computational cost. This contribution, already garnering 4 citations, addresses a critical bottleneck in deploying vision systems on resource-constrained underwater platforms. By combining hydrodynamic modeling with efficient deep learning, Zhao is advancing the autonomy and practicality of bionic robotic systems for environmental monitoring and inspection tasks.
Research Focus
Key Achievements
Top Papers
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- 2