Fei Shen

Chinese Academy of Sciences, Institute of Automation

Papers

Total Citations

H-Index

About

Fei Shen is a robotics and automation researcher whose work spans bio-inspired underwater robotics and intelligent visual inspection systems. His research bridges the gap between biological locomotion principles and practical engineering applications, demonstrating a rare versatility across both mechanical design and computer vision domains. Shen's most recognized contribution lies in the development of depth control systems for robotic dolphins, a 2013 study that has garnered 19 citations. This work made significant strides by grounding the robotic design in rigorous biomechanical analysis of real fish and dolphin motion, ultimately implementing fuzzy PID control to achieve precise depth regulation — a technically elegant solution that combines classical control theory with adaptive intelligence. This research has become a notable reference point for bio-inspired underwater vehicle design. More recently, Shen has expanded his focus into flexible 3D object appearance inspection, proposing active motion strategies combined with pose regression to enable intelligent, viewpoint-adaptive visual observation in semi-structured manufacturing environments. This 2022 work reflects a growing interest in autonomous robotic perception for industrial applications. Taken together, Shen's research reveals a consistent thread: designing intelligent, adaptive robotic systems that draw on both biological insight and advanced computational methods to solve real-world engineering challenges.