Yingfeng Zhang
Papers
1
Total Citations
23
H-Index
1
About
Yingfeng Zhang is a leading researcher in advanced manufacturing and intelligent robotics, with a primary focus on multi-robot collaborative systems and digital twin technology. Their most-cited work, "Multi-robot collaborative manufacturing driven by digital twins: Advancements, challenges, and future directions" (2025), has already garnered 23 citations, reflecting its timely impact on the field. Zhang's major contributions lie in bridging the gap between physical manufacturing processes and their virtual counterparts, enabling real-time monitoring, simulation, and optimization of multi-robot coordination. This work addresses critical challenges in flexibility, scalability, and fault tolerance within smart factories, offering a roadmap for next-generation autonomous production lines. By synthesizing advancements in digital twins with collaborative robotics, Zhang has provided a foundational framework that informs both academic research and industrial applications. Their research is particularly notable for its forward-looking perspective, identifying key barriers and proposing actionable solutions for future manufacturing ecosystems. As a result, Zhang's insights are shaping the trajectory of Industry 4.0, making their work essential reading for students and researchers exploring the intersection of robotics, simulation, and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1