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About

Shaoya Guan is a leading researcher in soft robotics and medical robotic systems, with a focus on developing adaptive, bio-inspired grippers and surgical navigation technologies. Her most influential work includes the creation of a universal soft pneumatic robotic gripper with variable effective length, which demonstrated how purely soft materials and simple control mechanisms can achieve versatile grasping—a paper that has garnered 205 citations. She further advanced this field by modeling and optimizing bidirectional soft actuators for amphibious environments, resulting in 126 citations, and introduced a soft bionic gripper with tunable finger lengths, cited 123 times. These contributions have significantly impacted the design of flexible, safe, and efficient robotic manipulators for diverse applications. More recently, Guan has applied her expertise to medical robotics, developing a multi-mode information fusion navigation system for robot-assisted vascular interventional surgery and a novel catheter operating robot, both aimed at improving precision and safety in minimally invasive procedures. Her work bridges fundamental soft robotics research with translational medical devices, earning her recognition as a pioneer in creating intelligent, adaptable robotic systems for real-world challenges.