Shunxiang Cao
Papers
1
Total Citations
1
H-Index
1
About
Shunxiang Cao is a rising researcher in bio-inspired robotics and computational fluid dynamics (CFD), whose work focuses on optimizing the locomotion efficiency of robotic fish. His primary research area lies at the intersection of fluid mechanics and autonomous underwater vehicle design, where he develops simulation-driven methods to reduce energy consumption in biomimetic systems. Cao’s most notable contribution is his 2025 paper, "A CFD-based Optimization Method for Achieving Low Cost of Transport of Robotic Fish," which introduces a novel framework for minimizing the cost of transport—a key metric for endurance in autonomous underwater robots. By integrating high-fidelity CFD simulations with optimization algorithms, his approach enables more efficient fin and body kinematics, directly impacting the design of long-duration aquatic robots for environmental monitoring and exploration. While his citation count is still growing, this work has already garnered attention for its practical implications in sustainable robotics. Cao’s research represents a significant step toward bridging computational modeling and real-world robotic performance, making him a promising voice in the field of bio-inspired engineering.
Research Focus
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Top Papers
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