Yue Luo
Papers
6
Total Citations
70
H-Index
5
About
Yue Luo is a leading researcher in Human-Robot Interaction (HRI), with a focus on designing safe, seamless, and socially-aware robotic systems for retail, cleaning, and industrial environments. Their work addresses critical challenges in human motion tracking, ergonomics, and user acceptance, particularly in settings where robots and humans must collaborate closely. Luo’s highly cited paper, “Human Mobile Robot Interaction in the Retail Environment” (25 citations), explores how individuals adjust their motion patterns around mobile robots, laying the groundwork for more intuitive robot navigation. In “Human Workload and Ergonomics during Human-Robot Collaborative Electronic Waste Disassembly” (23 citations), Luo investigates the physical and cognitive demands of collaborative disassembly tasks, contributing to safer and more efficient recycling workflows. Their research on cleaning robots, including studies on proxemic behaviors and acceptance during the COVID-19 pandemic, has practical implications for public health and workplace safety. Luo’s work is distinguished by its multisensory evaluation approach, combining physical and neurophysiological measures to understand real-time human responses to robots. With a growing citation impact and a focus on real-world applications, Yue Luo is shaping the future of human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Human mobile robot interaction in the retail environment25 citations · 2022
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