Xianqiao Tong

Nvidia (United States), Virginia Tech, GE Global Research (United States)

Papers

Total Citations

H-Index

About

Xianqiao Tong is a robotics researcher whose work sits at the critical intersection of computer vision, autonomous manipulation, and medical logistics. His primary research focus is on developing intelligent robotic systems capable of handling complex, unstructured environments, with a particular emphasis on automating the labor-intensive process of surgical instrument management. Tong’s major contribution is the creation of a complete, integrated vision-guided manipulation pipeline that can accurately identify, singulate, and sort surgical tools from a cluttered tray—a task previously reliant on manual, error-prone human labor. His pioneering system combines a novel single-view computer vision algorithm with a compliant electromagnetic gripper, effectively solving the "singulation" problem in a cluttered environment. This work, detailed in his most-cited papers from 2014 and 2015, has garnered over 40 citations, demonstrating its foundational impact on the field of medical robotics. Notably, Tong extended his manipulation research by implementing the system on a Baxter humanoid robot for tool sorting, and also explored autonomous vehicle navigation using grid-based scan-to-map matching, showcasing a broad expertise in robotic perception and control. His contributions directly address critical safety hazards in hospital sterilization logistics.