Li Dai

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About

Li Dai is a multidisciplinary researcher whose work spans biomechanical engineering, robotic systems, and advanced manufacturing processes. With a focus on precision machining and autonomous robotics, Dai has made notable contributions to both medical and industrial applications of engineering science. His most influential work, "A Cortical Bone Milling Force Model Based on Orthogonal Cutting Distribution Method" (2020), has garnered 41 citations and represents a significant advancement in surgical robotics and orthopedic machining, providing a reliable predictive model for forces during bone cutting procedures. His earlier work on mobile robot SLAM (Simultaneous Localization and Mapping) using ROS demonstrates a strong command of autonomous navigation systems, accumulating 29 citations since its 2016 publication. Dai further extended his robotics expertise into manufacturing stability analysis, investigating the challenging problem of chatter vibration in robotic milling — a critical issue given robots' inherently low structural stiffness — through three-dimensional stability modeling. Collectively, Dai's research bridges the gap between intelligent robotic systems and precision machining, offering practical solutions that enhance both surgical safety and industrial manufacturing quality.