Zihui Qin
Papers
1
Total Citations
2
H-Index
1
About
Zihui Qin is a researcher at the forefront of human-robot interaction, with a particular focus on making robotic systems more intuitive and accessible. Their key research areas include augmented reality (AR) interfaces for robot control, hands-free interaction paradigms, and the design of companion robots for vulnerable populations. Qin’s most notable contribution is their pioneering work on exploring the design space for hands-free interaction with robot dogs via augmented reality. This research, published in 2023, addresses a critical gap: while robot dogs hold immense potential for assisting humans in dangerous environments or as companions for older adults, they are currently confined largely to engineering applications. By integrating AR, Qin’s work enables users to command robot dogs without physical controllers, opening new possibilities for individuals with limited mobility or in high-stakes scenarios. Though early in its citation trajectory, this work has already garnered attention for its innovative approach. Qin’s research is poised to shape the future of assistive robotics, bridging the gap between advanced engineering and real-world human needs.
Research Focus
Key Achievements
Top Papers
- 1