Papers
11
Total Citations
52
H-Index
5
About
Yuqing Hu is a leading researcher at the intersection of construction robotics, human-robot collaboration (HRC), and intelligent workplace automation. Her work focuses on enabling safe, efficient, and intuitive interactions between human workers and robotic systems on unstructured construction sites. Hu’s major contributions include developing prediction-enabled path planning for robots to anticipate worker trajectories, analyzing human visual attention to improve robot motion adaptation, and creating a Construction Robot Schema (CRS) to standardize data for site operation planning. She also explores teleoperation interfaces, including motion-based control systems, to enhance operator intuition and safety. With over 50 citations across her top-cited papers, Hu’s research has been published in leading venues and addresses critical challenges such as gender bias in construction through deep learning and blockchain frameworks. Her work on AI-based robots in industrialized building manufacturing and schedule dependency analysis for robotic construction further underscores her impact. Hu’s research is shaping the future of intelligent workplaces, where robots and humans coexist seamlessly to improve productivity, safety, and equity in construction.
Research Focus
Key Achievements
Top Papers
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- 4AI-based robots in industrialized building manufacturing6 citations · 2025
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- 6Validation of a Construction Robotics Schema for Site Operation Planning4 citations · 2024
- 7A Schema for Robotics Operations in Construction4 citations · 2024
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- 9Developing a Work Package Approach for Construction Robotics3 citations · 2024
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