Papers
4
Total Citations
37
H-Index
3
About
Yongqi Liu is a rising researcher at the intersection of construction robotics and agricultural automation, whose work addresses critical labor shortages and productivity challenges through intelligent robotic systems. His research primarily focuses on developing autonomous navigation systems, computer vision algorithms, and robotic manipulation for both construction manufacturing and agricultural applications. Liu’s most influential work, a bibliometric analysis of construction robotics trends (19 citations), provides a comprehensive roadmap for the field, while his innovative system for automated part placement in precast concrete manufacturing (10 citations) demonstrates practical solutions for industry digitization. He has also made notable contributions to agricultural robotics, including an autonomous navigation system with trajectory prediction for rubber forest environments (6 citations) and an improved YOLOv8n-IRP model for rubber tree tapping surface detection (2 citations). His work on the latter introduces a receptive field attention mechanism that enhances detection accuracy in complex forest environments. Liu’s research portfolio, spanning from 2023 to 2024, showcases his ability to bridge theoretical advances with real-world applications, making significant strides toward automating labor-intensive tasks in both construction and agriculture.
Research Focus
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