Ziqing Su

Papers

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About

Ziqing Su is a pioneering researcher in the field of medical robotics, with a primary focus on intelligent control systems for human-robot interaction, particularly in therapeutic massage applications. Su’s major contributions lie in developing adaptive control algorithms that enable robots to safely and effectively interact with the complex, uncertain dynamics of human tissue. Their most cited work, "An intelligent control system for robot massaging with uncertain skin characteristics" (2022, 15 citations), introduces a novel impedance control system that incorporates a skin dynamic model (SDM) to ensure precise force and position regulation despite unknown skin properties—a critical advancement for clinical deployment. More recently, Su’s research on "Friction and Deformation Behavior of Human Skin During Robotic Sliding Massage Operation" (2024, 2 citations) deepens the understanding of tribological interactions between robotic end-effectors and biological tissue, laying the groundwork for safer, more comfortable robotic therapies. By bridging control theory with biomechanics, Su’s work directly addresses key challenges in assistive robotics, offering practical solutions for rehabilitation and wellness technologies. Their research is highly relevant for students and engineers interested in soft robotics, haptics, and human-centered automation.