Dehan Yuan

Beijing Institute of Technology, Westlake University

Papers

Total Citations

H-Index

About

Dehan Yuan is a leading researcher in bio-inspired robotics, with a primary focus on the modeling, control, and navigation of robotic fish. His work bridges theoretical fluid dynamics and practical robotic design, aiming to replicate the exceptional efficiency and maneuverability of aquatic life. Yuan’s most cited paper, "Recent Progress in Modeling and Control of Bio-Inspired Fish Robots" (2022, 87 citations), provides a comprehensive review of the field’s theoretical and experimental advances, highlighting the advantages of bio-inspired systems over traditional underwater vehicles—such as reduced noise and minimal fluid disturbance. More recently, his 2024 study, "Efficient navigation of a robotic fish swimming across the vortical flow field" (10 citations), introduces novel control strategies for navigating complex, turbulent environments, a critical step toward real-world deployment. Yuan’s work has significant implications for environmental monitoring, underwater exploration, and defense, and his contributions are shaping the next generation of autonomous underwater vehicles. With a growing citation record and a focus on solving real-world locomotion challenges, Yuan is establishing himself as a key innovator in the intersection of robotics and biomechanics.