Papers

2

Total Citations

10

H-Index

2

About

Qingzhi Mou is a leading researcher in collaborative robotics and intelligent manufacturing, with a specialized focus on the assembly of 3C (Computer, Communication, and Consumer Electronic) products. His work directly addresses the critical challenges of automating complex assembly processes, including part manipulability, positioning, and assembly constraints. Mou’s major contributions lie in developing advanced trajectory planning algorithms for collaborative robots, enabling them to perform the delicate and precise tasks required in 3C production lines. He has also pioneered low-cost, non-contact motion capture systems using Leap Motion sensors to extract and analyze human assembly hand trajectories, a breakthrough that bridges human skill and robotic automation. His highly cited papers, such as "Trajectory Planning of Collaborative Robot for 3C Products Assembly" and "Hand Trajectory Extraction of Human Assembly Based on Multi-Leap Motions," each with 5 citations, have laid foundational work for the next generation of flexible, human-robot collaborative manufacturing. Mou’s research is instrumental in making automation more accessible and efficient for the fast-paced 3C industry, where precision and adaptability are paramount.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Trajectory Planning of Collaborative Robot for 3C Products Assembly
5 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University Town of Shenzhen, Harbin Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago