معرفی
Kun Qian is a Lecturer in Robot-assisted Manufacturing at the University of Manchester. He holds a B.Eng. and M.S. from the University of Leeds (2016-2017) and a Ph.D. in Rehabilitation Robotic Control (2022). Prior to joining UoM in 2024, he worked at Heriot-Watt University (2023-2024) and the University of Leeds (2022).
His research focuses on control and machine vision technologies for advanced manufacturing systems. Key areas include additive manufacturing quality control, vision-based environment sensing, and AI-driven human-robot collaboration. His work addresses scalability, productivity, and adaptability in manufacturing through interdisciplinary approaches.
Dr. Qian has published over 20 peer-reviewed papers and collaborates with industries via funding from EPSRC, STFC, and ISCF. He is actively mentoring PhD students in topics like human-in-the-loop collaboration and 3D reconstruction for quality control.
Notable research contributions include iterative learning control, robotic assembly optimization, and medical robotics innovations. His work aligns with UN Sustainable Development Goals related to industry, innovation, and infrastructure.
