Papers

2

Total Citations

42

H-Index

2

About

Yang Li is a versatile researcher whose work spans two distinct yet equally innovative domains: advanced manufacturing technologies and robotic control systems. In the field of fabrication, Li has made significant strides in acoustic-assisted 3D printing, pioneering the use of acoustofluidic microparticle patterning to fabricate conductive polymer composites — a contribution that has garnered 37 citations since its 2022 publication, reflecting rapid recognition within the additive manufacturing community. This work represents a meaningful advancement in precision material deposition, opening new possibilities for smart material design and flexible electronics. Complementing this, Li has also contributed to the field of mobile robotics, developing a vision-based control framework for wheeled mobile robots that unifies tracking and regulation tasks using a monocular camera. By extracting orientation and scaled position information through Euclidean reconstruction, this approach elegantly addresses a longstanding challenge in visual servoing. Together, these contributions paint a picture of a researcher comfortable bridging hardware fabrication and intelligent system control — a rare interdisciplinary reach that positions Li as a thoughtful contributor across multiple frontiers of engineering research.

Research Focus

Key Achievements

2
H-Index
2
Papers
42
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Acoustic-assisted 3D printing based on acoustofluidic microparticles patterning for conductive polymer composites fabrication
37 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Hong Kong University of Science and Technology, Zhejiang University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago