Yuting Zhang

North University of China

Papers

1

Total Citations

10

H-Index

1

About

Dr. Yuting Zhang is a leading researcher in advanced manufacturing and robotics, with a core focus on digital twin technology and precision control systems for industrial automation. Her most influential work addresses the critical challenge of status monitoring and positioning compensation in parallel robots—machines essential for high-speed tasks in food packaging and parts assembly. In her landmark 2025 paper, which has already garnered 10 citations, Dr. Zhang identified that traditional robot teaching pendants supply monitoring data only under idealized conditions, leading to significant accuracy gaps in real-world applications. She pioneered a novel digital twin-based compensation system that integrates real-time status monitoring with precise positioning correction, dramatically enhancing the operational fidelity of parallel robots. This contribution bridges the gap between theoretical models and practical industrial performance, offering manufacturers a robust solution for improving efficiency and reducing errors. Dr. Zhang’s work stands out for its direct applicability to smart factory environments, positioning her as a key innovator in the digital transformation of manufacturing. Her research continues to influence the development of more intelligent, adaptive robotic systems for the Industry 4.0 era.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Research on status monitoring and positioning compensation system for digital twin of parallel robots
10 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: North University of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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