Yongshun Chen

Southern University of Science and Technology

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About

Yongshun Chen is a leading researcher in bio-inspired sensing and underwater robotics, with a particular focus on artificial lateral line systems that mimic the hydrodynamic perception abilities of fish. His most-cited work, "Online hydrodynamic forces estimation system based on the artificial lateral line system" (2023), has garnered 5 citations and represents a significant contribution to the field. Chen’s research bridges the gap between biological sensory mechanisms and engineering applications, enabling autonomous underwater vehicles to detect and estimate hydrodynamic forces in real time—a critical capability for navigation, obstacle avoidance, and environmental monitoring in complex aquatic environments. By developing sensor arrays and estimation algorithms that replicate the lateral line’s function, he has advanced the design of more agile and responsive underwater robots. His work is notable for its practical integration of machine learning and fluid dynamics, offering a foundation for next-generation marine exploration systems. Chen’s contributions are particularly impactful for researchers working on bio-robotics, sensor fusion, and autonomous systems, providing a pathway to more efficient and adaptive underwater technologies.