Fuxing Yao

Shenyang Jianzhu University

Papers

1

Total Citations

12

H-Index

1

About

Dr. Fuxing Yao is a leading researcher in the field of nonlinear dynamics and control for underactuated robotic systems, with a particular focus on construction and heavy-lifting automation. His work addresses the critical challenge of stabilizing underactuated construction lifting robots—machines with fewer control inputs than degrees of freedom—especially during load hoisting and lowering. Yao’s major contribution lies in developing nonlinear coupling tracking control strategies that mitigate violent load swing, a persistent safety hazard in construction environments. His 2022 paper on this topic, which has garnered 12 citations, introduces a robust framework for handling initial input saturations, ensuring smoother and safer operation. This work is foundational for advancing autonomous construction robotics, where precision and reliability are paramount. Yao’s research not only enhances operational safety but also pushes the boundaries of nonlinear control theory, making him a key figure in the intersection of robotics and civil engineering. His achievements are particularly notable for their practical implications, offering scalable solutions for real-world construction sites.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Nonlinear coupling tracking control for underactuated construction lifting robots with load hoisting/lowering under initial input saturations
12 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Shenyang Jianzhu University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago