Shumei Ma

Tongji University

Papers

2

Total Citations

22

H-Index

2

About

Shumei Ma is a leading researcher in intelligent manufacturing and robotics, with a focus on complex surface processing and multi-robot coordination. Her work addresses critical challenges in shipbuilding and industrial automation, particularly in path planning for spray painting robots on intricate free-form surfaces like ship horns. Ma’s 2019 paper on this topic, which has garnered 11 citations, introduces a novel tool trajectory optimization method based on dip angle spray to ensure uniform paint deposition—a significant advancement for industries requiring high-precision coating. In another highly cited 2019 study (11 citations), Ma tackles kinematics analysis and self-collision detection for truss-type multi-robot cooperative welding platforms. By applying the Denavit-Hartenberg method, she provides analytical inverse kinematics solutions for a system combining a mobile truss, clamping robot, and dual-arm welding robot, addressing the technical difficulty of dual-arm coordination. These contributions demonstrate Ma’s impact on improving efficiency, safety, and quality in automated manufacturing, making her work essential reading for researchers in robotics, industrial automation, and shipbuilding technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
22
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Path Planning for Spray Painting Robot of Horns Surfaces in Ship Manufacturing
11 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Tongji University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago