Papers
2
Total Citations
38
H-Index
2
About
Yue Yin is an emerging researcher at the intersection of human-robot interaction, augmented reality, and intelligent manufacturing systems. Their work focuses on developing innovative frameworks that bridge the gap between human expertise and robotic capabilities, with a particular emphasis on making robotic programming more accessible and intuitive for human operators. Yin's most influential contribution, "Enhancing human-guided robotic assembly: AR-assisted DT for skill-based and low-code programming" (2024), has already garnered 28 citations, demonstrating rapid recognition within the robotics and manufacturing communities. This work pioneers the integration of augmented reality with digital twin technology to enable skill-based, low-code robotic programming — significantly lowering the technical barrier for human-guided automation. Their follow-up research in 2025 further advances this agenda by leveraging large language models (LLMs) to synthesize robot skills from human demonstrations, enabling more fluid human-robot collaborative assembly workflows. Together, these contributions position Yin as a forward-thinking researcher shaping the future of collaborative robotics, where artificial intelligence and immersive technologies empower workers to program and collaborate with robots naturally, efficiently, and without deep technical expertise. Their early-career impact suggests a promising trajectory in smart manufacturing research.
Research Focus
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