Papers
2
Total Citations
26
H-Index
2
About
Qingda Wang is a researcher in bio-inspired robotics, specializing in the design and dynamic analysis of flexible-fin underwater propulsion systems. His work focuses on understanding how oscillating and sinusoidal fin motions can be harnessed for efficient locomotion and maneuverability in aquatic robots. In his most-cited study, with 20 citations, Wang investigated the symmetric oscillation and turning characteristics of a double-fin underwater robot, using 3D modeling and fluid simulation to reveal key dynamics of paired-fin propulsion. A related paper, with 6 citations, explores sinusoidal actuation for median and paired fin propulsion, where he built a prototype and employed computer-aided engineering to analyze the flexible fin’s transmission system. Wang’s contributions advance the field of biomimetic robotics by providing foundational insights into flexible fin mechanics, which are critical for developing agile, energy-efficient underwater vehicles. His work bridges simulation and prototyping, offering practical pathways for next-generation autonomous underwater robots used in exploration, monitoring, and defense.
Research Focus
Key Achievements
Top Papers
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