Tangjia Zhang
Papers
9
Total Citations
95
H-Index
7
About
Tangjia Zhang is an emerging robotics and fluid dynamics researcher whose work centers on biomimetic underwater locomotion, undulating fin robotics, and amphibious systems. Zhang's research systematically investigates how biologically inspired undulating fins — mechanisms modeled after aquatic creatures such as knifefish and cuttlefish — can be engineered to achieve efficient, versatile propulsion across diverse environments. Zhang's most influential contribution, a 2023 study on hydrodynamic performance under varying water conditions (39 citations), established a foundational understanding of how environmental factors affect biomimetic fin robots. Complementing this, Zhang developed a Central Pattern Generator (CPG)-based control framework enabling flexible, adaptive locomotion for undulating fin platforms. A particularly distinctive line of work explores rigid-flex fin-ray architectures that grant robots both structural integrity and active flexibility, enabling genuinely amphibious operation across underwater, terrestrial, and marshy terrains — a rare and practically significant achievement in field robotics. Zhang's research further extends into fluid-structure interactions, wake dynamics behind bluff bodies, and optimal motion pattern design, demonstrating rigorous multi-physics analytical capability. With over 95 cumulative citations across publications spanning just 2023–2025, Zhang is rapidly establishing a distinctive and impactful niche at the intersection of bioinspired robotics, hydrodynamics, and mechatronic design.
Research Focus
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