Kong Minxiu

Papers

Total Citations

H-Index

About

Kong Minxiu is a robotics and medical technology researcher whose work bridges advanced automation with surgical and vision-based applications. His research spans telesurgery systems, robot-assisted orthopaedic surgery, and computer vision-driven mobile robotics — fields that sit at the intersection of engineering precision and real-world clinical impact. Kong's most influential contribution, cited 12 times, introduced a virtual reality-based teleprogramming scheme combined with semi-autonomous control for telesurgery, directly addressing the persistent challenges of unpredictable internet time delays and operator fatigue that had long hindered reliable remote surgical systems. This work demonstrated a robust framework for making telesurgery both safer and more efficient under real-world network conditions. In orthopaedic surgery, Kong proposed the MT-RAOS system, a fluoroscopy-guided robot-assisted platform designed to enhance the precision of bone repositioning and intramedullary nail locking — procedures demanding exceptional accuracy. His vision-based research further extended his expertise to mobile robotics, developing a real-time moving object tracking algorithm using adaptive color matching and Kalman filtering, earning 6 citations for its practical contributions to autonomous robot perception. Collectively, Kong's portfolio reflects a sustained commitment to advancing intelligent, semi-autonomous systems that reduce human error and improve outcomes across surgical and robotic domains.