Ke Xia

Shanghai Jiao Tong University, Harbin Institute of Technology

Papers

Total Citations

H-Index

About

Ke Xia is a robotics engineer whose work bridges the gap between industrial automation and intelligent perception. His research centers on machine vision-guided robotics, underwater autonomous systems, and specialized robotic solutions for hazardous environments. In his most influential work, "Workpieces sorting system based on industrial robot of machine vision" (30 citations), Xia tackled a critical limitation in manufacturing: robots’ inability to perceive and adapt to their surroundings. By integrating machine vision with industrial robots, he demonstrated how visual feedback can enable precise, real-time sorting of workpieces—a contribution that directly advances smart factory automation. Xia also ventured into extreme environments with his design of an underwater welding robot for nuclear power plants (8 citations). Addressing the unique challenges of nuclear pool operations, he proposed a specialized robotic system capable of performing critical welding tasks in high-radiation, submerged conditions. This work highlights his commitment to developing robots that operate where humans cannot. Though his citation counts are modest, Xia’s research is notable for its practical, application-driven focus—solving real-world problems in manufacturing and nuclear safety. His contributions offer a blueprint for integrating perception into industrial robotics, making him a valuable voice in the field of applied robotics.