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About

Yin Xiao is a pioneering researcher at the intersection of soft robotics, underwater manipulation, and continuum robot control. His work focuses on developing compliant, dexterous robotic systems capable of operating in challenging aquatic and surgical environments. Xiao’s major contributions include the design of soft origami optical-sensing actuators for underwater manipulation, which leverage passive adaptability and waterproof construction to achieve compact, lightweight dexterity—a paper that has garnered 33 citations. He has also advanced trunk-like soft arms, enhancing payload and spatial performance, and created a strong underwater soft manipulator with planarly-bundled actuators and accurate position control (9 citations). Notably, Xiao’s research bridges simulation and reality through deep reinforcement learning with Koopman operators, enabling efficient real-to-sim-to-real transfer for continuum robots (6 citations). His work on dynamic hysteresis compensation for tendon-sheath mechanisms in flexible surgical robots addresses critical challenges in minimally invasive surgery without distal perception (4 citations). With a portfolio spanning seabed operations and omnidirectional robotic platforms, Xiao’s innovations are shaping the future of adaptive, resilient robots for exploration, sampling, and medical intervention.