Papers
3
Total Citations
28
H-Index
2
About
Zhonghao Qin is a robotics and intelligent manufacturing researcher whose work centers on robotic manipulation for complex industrial processes, particularly welding and polishing. His primary contributions lie in developing sensor-driven automation systems that enhance robot perception and motion planning in challenging manufacturing environments. Qin’s most cited paper, “Automatic joint motion planning of 9-DOF robot based on redundancy optimization for wheel hub polishing” (2022, 21 citations), addresses the critical challenge of optimizing redundant robotic arms for precise surface finishing tasks. He further advanced weld seam detection with his 2024 study on a novel inclinometer-integrated structured-light vision sensor, which enables robots to recognize seam inclinations even when precise positioning is impossible—a breakthrough for crawling welding applications. His work on welding splash and arc noise reduction imaging models (2022) contributes to cleaner, more reliable visual feedback for robotic welding systems. Collectively, Qin’s research bridges the gap between theoretical robotics and practical industrial deployment, offering solutions that improve both the accuracy and adaptability of automated manufacturing processes.
Research Focus
Key Achievements
Top Papers
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