Papers
2
Total Citations
11
H-Index
1
About
Haoke Zhu is a rising figure in the field of bio-inspired underwater robotics, with a focused research portfolio in bionic propulsion, robotic fish design, and autonomous path tracking. His most cited work, "Development and three-dimensional modeling of a bionic robotic fish with pectoral fins" (2025, 10 citations), introduces a novel approach to replicating the complex locomotion of real fish through advanced 3D modeling and mechanical design, contributing to more agile and efficient underwater vehicles. In his subsequent study, "A Path Tracking Method and Validation Experiment for Robotic Manta" (2024, 1 citation), Zhu addresses a critical challenge in mission-oriented control by proposing a model-free path-tracking method that integrates the line-of-sight (LOS) guidance law with a TS fuzzy system. This work demonstrates practical validation in real-world experiments, highlighting his commitment to bridging theoretical control strategies with tangible robotic performance. Though early in his career, Zhu’s contributions are already shaping the next generation of autonomous underwater robots, with potential applications in environmental monitoring, exploration, and defense. His research stands at the intersection of mechanical engineering, control theory, and biomimetics, offering a promising trajectory for students and researchers interested in intelligent, nature-inspired robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Path Tracking Method and Validation Experiment for Robotic Manta1 citations · 2024