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About

Yinglong Chen is a robotics researcher whose work spans soft robotics, underwater autonomous systems, and human-robot interaction. His research is distinguished by a sophisticated integration of mechanical design, dynamic modeling, and real-world validation, with particular emphasis on systems that operate in challenging or confined environments. Chen's most influential contributions include pioneering the use of anisotropic fabric composites in high-strength hydraulic soft manipulators (22 citations), demonstrating that textile materials can dramatically enhance the structural performance of compliant robotic systems. His rigorous dynamic modeling work — applying an improved Newton-Euler iterative method to water hydraulic soft manipulators (19 citations) — has helped bridge the gap between theoretical soft-robot mechanics and practical deployment. His development of hybrid rigid-soft underwater snake robots (16 citations) and their comprehensive kinematic-dynamic frameworks reflects a sustained commitment to bioinspired underwater robotics. Beyond manipulation and locomotion, Chen has contributed meaningfully to robot localization in confined underwater environments (21 citations) and pipeline robot positioning using rotating permanent magnet antennas. Notably, his COVID-19-motivated work on remote pharyngeal swab sampling robots (12 citations) demonstrates a willingness to apply robotics expertise to urgent medical challenges. Collectively, his portfolio reflects a versatile, impact-driven research career at the frontier of field robotics.