Shuyang Zhang

Northwestern Polytechnical University

Papers

1

Total Citations

15

H-Index

1

About

Shuyang Zhang is a leading researcher in industrial robotics, with a focus on enhancing the absolute positional accuracy of 6-DOF articulated robots. His work bridges the critical gap between geometric parameters and joint stiffness, addressing both to improve robot performance in flexible assembly and parts fabrication. His most-cited paper, "The parameter identification model considering both geometric parameters and joint stiffness" (2019), has garnered 15 citations, reflecting its practical significance in precision manufacturing. By developing a comprehensive model that integrates these dual factors, Zhang has advanced the applicability of industrial robots in high-stakes environments where accuracy is paramount. His contributions are particularly valuable for researchers and engineers working on robot calibration, error compensation, and adaptive manufacturing systems. Zhang’s work stands out for its holistic approach to parameter identification, offering a robust framework that enhances both theoretical understanding and real-world deployment of articulated robots.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
The parameter identification model considering both geometric parameters and joint stiffness
15 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Northwestern Polytechnical University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago