Feng Yiting
Papers
1
Total Citations
1
H-Index
1
About
Feng Yiting is a researcher at the forefront of industrial robotics and digital twin technology, with a focused interest in human-machine interaction. Her most-cited work, "Application of human-machine interaction in digital twin system of industrial robot" (2023), explores the integration of intuitive control interfaces with virtual replicas of physical robotic systems—a critical advancement for smart manufacturing and remote operation. This contribution addresses the growing need for seamless collaboration between humans and automated systems, enhancing both safety and efficiency in industrial environments. While her citation count is still emerging, the paper's relevance to Industry 4.0 and digital transformation signals its potential for significant impact. Feng’s research bridges the gap between theoretical digital twin frameworks and practical human-robot collaboration, offering a foundation for future work in adaptive automation. Her dedication to advancing interactive robotics positions her as a promising voice in the field, with contributions that are likely to influence both academic research and industrial applications in the years to come.
Research Focus
Key Achievements
Top Papers
- 1