About

Zhengxing Wu is a leading robotics researcher whose work spans biomimetic underwater robots, autonomous marine systems, and underwater computer vision. His research has made pioneering contributions to the design, control, and real-world deployment of biologically inspired aquatic robots, with a particular focus on robotic dolphins and fish. Among his most celebrated achievements is the development of a fast-swimming dolphin robot capable of leaping out of water — a first-of-its-kind milestone — as well as a gliding robotic dolphin that uniquely integrates dolphin-like propulsion with underwater glider endurance. His work on CPG network optimization and sliding-mode fuzzy control has advanced the motion intelligence of robotic fish, while his data-driven dynamic modeling approach offers practical solutions to the complex hydrodynamics of underwater locomotion. Beyond biomimetics, Wu has contributed to real-world environmental applications, including water quality monitoring and an intelligent water surface cleaning robot for plastic garbage collection. His 2019 GAN-based underwater image enhancement work (141 citations) reflects his growing influence in marine vision. With a highly cited body of work totaling hundreds of citations across top venues, Wu's research stands at the forefront of intelligent ocean robotics.

Research Focus

Key Achievements

34
H-Index
131
Papers
3,257
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Towards Real-Time Advancement of Underwater Visual Quality With GAN
141 citations · 2019
📈 Most Prolific Year: 2019 (18 Papers)
🤝 Key Collaborators: 103
🏛 Institutions: University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shandong Institute of Automation, Institute of Automation, Beijing Academy of Artificial Intelligence, Tianjin University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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