Zhenying Guan

Papers

Total Citations

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About

Zhenying Guan’s research lies at the intersection of biomimetic robotics, hydrodynamics, and multi-agent systems, with a focus on designing intelligent, nature-inspired robots for complex environments. Her most influential work, “3D hydrodynamic analysis of a biomimetic robot fish” (2010, 8 citations), pioneered the use of three-dimensional computational fluid dynamics (CFD) to simulate fish-like swimming, employing Fluent, user-defined functions, and dynamic meshing to accurately model aquatic locomotion. This foundational contribution enabled more realistic robotic designs and has been cited by researchers advancing underwater robotics. In “Multi-Robot Hunting in Dynamic Environments” (2008, 6 citations), Guan introduced the BCSLA approach, a novel strategy for coordinating multiple robots to capture an intelligent evader through states like dispersion, surrounding, and prediction—advancing the field of cooperative robotics. Her doctoral thesis (2012, 4 citations) further integrated haptic feedback into a 3D locomotion biomimetic robot fish, creating a novel human-robot interface that combined kinematic modeling with CFD validation. Though her citation counts are modest, Guan’s work is notable for its interdisciplinary rigor, bridging computational simulation, mechanical design, and control theory. Her contributions offer valuable insights for students and researchers interested in bio-inspired robotics, swarm intelligence, and human-robot interaction.