Yinqian Li
Papers
1
Total Citations
2
H-Index
1
About
Yinqian Li is a researcher at the forefront of human-robot interaction, with a focused interest in integrating augmented reality (AR) to enhance collaborative work in industrial settings. Their most-cited work, "Assisted Human-Robot Interaction for Industry Application Based Augmented Reality" (2022), explores how AR interfaces can bridge the gap between human operators and robotic systems, improving safety, efficiency, and task precision on factory floors. This contribution addresses a critical need in modern manufacturing—seamless, intuitive communication between humans and machines. While still early in their career, Li’s work has already garnered attention, with this paper accumulating 2 citations, signaling growing interest in their approach. Their research sits at the intersection of robotics, computer vision, and user experience design, aiming to make industrial automation more accessible and adaptive. Li’s focus on practical, application-driven solutions positions them as a promising voice in the evolving landscape of Industry 4.0, where augmented reality is increasingly seen as a key enabler of smarter, safer human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1