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About

Qingyu Xiao is a robotics researcher whose work sits at the intersection of soft robotics, continuum mechanisms, and autonomous perception. His primary research areas include stiffness modulation in soft robots, kinematics modeling, and force estimation for continuum structures—critical challenges for enabling robots to safely interact with unpredictable environments. Xiao’s most impactful contribution is his comprehensive review on MR-conditional actuations (34 citations), which has become a foundational reference for researchers exploring magnetic resonance-compatible robotic systems. He introduced a novel stiffness modulation approach for soft robots with concentric backbones, addressing the fundamental trade-off between compliance and load-bearing capacity (28 citations). In perception, Xiao developed a multi-camera asynchronous ball localization system using factor graphs and human pose estimation (9 citations), advancing agile robotics for high-speed ball sports like tennis. His curvature-based force estimation method for elastic tubes (6 citations) and efficient force estimation framework for continuum robots (4 citations) provide practical solutions for contact sensing without dedicated sensors. Xiao’s work bridges theoretical modeling with real-world robotic applications, making him a notable contributor to the growing field of soft and continuum robotics.