Yue Luo Yue Luo

Papers

1

Total Citations

3

H-Index

1

About

Yue Luo is a researcher at the forefront of human-robot interaction, with a particular focus on deploying collaborative robots in dynamic, real-world settings like retail and wholesale environments. Her most-cited work, "Human Mobile Robot Interaction in the Retail Environment" (2022), introduces a novel dataset recorded in a future-oriented trade setting, where a mobile robot works alongside human workers in close proximity. By simulating authentic tasks—such as order picking, sorting, and inventory checking—with eight participants, Luo’s research provides critical insights into the ergonomic and social challenges of human-robot teamwork. This contribution has garnered 3 citations to date, laying foundational groundwork for safer, more efficient automation in logistics. Her work stands out for its emphasis on ecological validity, bridging the gap between lab studies and industrial application. Luo’s achievements highlight her commitment to designing robots that seamlessly integrate into human-centered workflows, making her a rising voice in the field of collaborative robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Human Mobile Robot Interaction in the Retail Environment
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago