Qin Weiming

Papers

Total Citations

H-Index

About

Qin Weiming’s research lies at the dynamic intersection of human-robot interaction, real-time motion control, and intelligent automation. His most cited work, “Real-time virtual UR5 robot imitation of human motion based on 3D camera” (2020), demonstrates a novel approach to enabling intuitive robot control by mapping human arm movements onto a virtual UR5 robotic arm using 3D camera data. This contribution addresses a critical challenge in collaborative robotics—how to make robot programming accessible and responsive to non-expert users. By achieving real-time imitation of human motion, Weiming’s research enhances the quality and safety of human-robot collaboration in industries such as manufacturing, healthcare, and service robotics. Though his citation count is still growing, his work has already attracted attention for its practical implications in reducing the complexity of robot control. Qin Weiming’s focus on bridging human demonstration and robotic execution positions him as an emerging voice in the field of interactive robotics, with potential for significant impact on future human-centered automation systems.