Qihe Chen

Tsinghua University

Papers

3

Total Citations

44

H-Index

2

About

Qihe Chen is a pioneering researcher in human-robot interaction, with a focus on assistive robotics for blind and low vision (BLV) individuals. Their work explores how different robot forms—from cane-like devices to quadruped robots—and varying levels of autonomy can empower visually impaired users. Chen’s major contribution lies in participatory design: they actively involve BLV users in evaluating and shaping guiding robots, ensuring these technologies meet real-world needs rather than imposing top-down solutions. Their 2023 paper, *“I am the follower, also the boss,”* (29 citations) reveals nuanced user preferences for balancing robot autonomy with human control, challenging assumptions about full automation. Another key study (13 citations) demonstrates that quadruped robots, with their bionic forms and emotional appeal, can serve as viable guide dogs—offering flexibility and companionship beyond traditional canes. By centering user agency and co-design, Chen’s work has garnered attention for its human-centered approach, bridging robotics and accessibility. Their research not only advances technical design but also redefines how assistive technologies can foster independence and dignity for BLV communities.

Research Focus

Key Achievements

2
H-Index
3
Papers
44
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
"I am the follower, also the boss": Exploring Different Levels of Autonomy and Machine Forms of Guiding Robots for the Visually Impaired
29 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Tsinghua University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago