Papers

2

Total Citations

7

H-Index

2

About

Yehao Kang is an emerging researcher in marine and tunnel engineering robotics, with a focus on the design and kinematic optimization of specialized construction and dredging machinery. His work addresses critical challenges in underwater silt removal and automated tunnel reinforcement. In his highly cited 2024 study on the "Optimization Design of a Winch Suction Underwater Dredging Robot," Kang applied orthogonal experimental design to enhance dredging efficiency, directly tackling the environmental and infrastructural problems caused by silt accumulation in water ecosystems and storage systems. This paper has already garnered 4 citations, signaling its relevance to the field. Complementing this, his research on the "Kinematics and spatial structure analysis of TBM gunite robot" (3 citations in 2024) employs the D–H parameter method to evaluate and improve the performance of shotcrete mechanisms mounted on Tunnel Boring Machines, advancing automated construction for tunnel wall reinforcement. Kang’s contributions are notable for bridging theoretical kinematic analysis with practical robotic design, offering innovative solutions for both underwater and underground construction environments. His work is particularly valuable for students and researchers interested in applied robotics, mechatronics, and civil engineering automation.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Optimization Design of a Winch Suction Underwater Dredging Robot Using Orthogonal Experimental Design
4 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: North China University of Water Resources and Electric Power

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago