Hengyuan Yan
Papers
2
Total Citations
8
H-Index
1
About
Hengyuan Yan is a robotics researcher specializing in robot learning from demonstration (LfD) for complex assembly tasks, with a focus on contact-rich, six-degree-of-freedom manipulation. His major contributions center on developing frameworks that enable robots to efficiently acquire human assembly skills through sequential movement primitives, addressing the labor-intensive nature of flexible assembly lines. In his 2023 work, Yan introduced a method combining LfD with sequential assembly movement primitives, achieving precise, contact-rich assembly operations—a critical advancement for industrial automation. This paper has garnered 7 citations, reflecting its relevance in the robotics community. His 2025 study further enhances this approach by integrating camera-supplemented optical motion capture sensors, improving the accuracy and robustness of skill transfer. Yan’s research bridges the gap between human dexterity and robotic precision, offering scalable solutions for manufacturing. His work is notable for its practical impact on reducing programming complexity in assembly lines, making him a promising voice in the field of robotic skill acquisition and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 2