Sun Q

University of Auckland, Middle East Technical University

Papers

Total Citations

H-Index

About

Sun Q’s research lies at the intersection of medical robotics and intelligent automation, with a focus on developing systems that enhance precision, safety, and adaptability in clinical and industrial settings. His most influential work, “Robotic Long Bone Fracture Reduction” (2008, 14 citations), pioneers a novel robotic platform for realigning fractured bones, integrating interface, robot, and database technologies to improve surgical outcomes and reduce strain on clinicians. This system stands out for its potential to replace manual traction methods, offering greater accuracy and patient-specific customization. In “Vision-Guided Robot Control for 3D Object Recognition and Manipulation” (2008, 9 citations), Sun advances machine vision techniques for autonomous handling of complex, irregular objects—a critical step toward more flexible and intelligent manufacturing. His later work, “Multi-Criteria Optimal Design of Cable Driven Ankle Rehabilitation Robot” (2009, 6 citations), applies optimization theory to create lightweight, cable-driven devices for post-stroke therapy, balancing cost, safety, and therapeutic efficacy. Though citation counts are modest, Sun’s contributions are notable for their interdisciplinary rigor and translational potential, bridging robotics, biomechanics, and clinical practice. His research continues to inspire innovations in surgical robotics and rehabilitation engineering.