Papers
131
Total Citations
3,257
H-Index
34
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
Top Papers
- 1Towards Real-Time Advancement of Underwater Visual Quality With GAN141 citations · 2019
- 2Motion Control and Motion Coordination of Bionic Robotic Fish: A Review134 citations · 2018
- 3Development of a Fast-Swimming Dolphin Robot Capable of Leaping104 citations · 2016
- 4CPG Network Optimization for a Biomimetic Robotic Fish via PSO103 citations · 2015
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- 7Towards a Gliding Robotic Dolphin: Design, Modeling, and Experiments90 citations · 2019
- 8Development and Control of Underwater Gliding Robots: A Review89 citations · 2022
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- 10Data-Driven Dynamic Modeling for a Swimming Robotic Fish84 citations · 2016