Papers
6
Total Citations
90
H-Index
4
About
Tianzhu Wang is a leading researcher in bioinspired robotics, with a primary focus on developing and controlling self-propelled robotic dolphins that can replicate the complex leaping motions of their biological counterparts. His work addresses the fundamental challenge of emulating high-speed, short-duration surface piercing—a feat critical for advancing agile underwater robots. Wang’s most influential contribution, the 2019 paper "Motion Control Strategies for a Repetitive Leaping Robotic Dolphin" (60 citations), established foundational control frameworks for sustained leaping, while his 2023 study (10 citations) provided the first quantitative kinematic analysis of leaping using a bionic platform, overcoming the limitations of live dolphin observation. He also innovated in sensing technology, designing a miniature underwater angle-of-attack sensor (9 citations) that enables real-time flow measurement for fin-actuated robots, and developed a torque control strategy leveraging this feedback to optimize propulsion efficiency. With over 90 total citations across his portfolio, Wang’s work bridges robotics, hydrodynamics, and biomechanics, offering practical platforms for studying dolphin-inspired locomotion. His recent exploration into precision medicine (2025) further demonstrates his interdisciplinary ambition, though his core legacy remains in advancing the agility and autonomy of bioinspired underwater vehicles.
Research Focus
Key Achievements
Top Papers
- 1Motion Control Strategies for a Repetitive Leaping Robotic Dolphin60 citations · 2019
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- 6Inverse dynamic analysis of general n-link robot manipulators2 citations · 1996