Weihan Yin
Papers
1
Total Citations
5
H-Index
1
About
Weihan Yin is a researcher advancing the field of human-robot interaction (HRI) through precision sensing technologies. Their work focuses on capacitive proximity detection, a critical enabler for safe and intuitive collaboration between humans and robots. Yin’s most-cited paper, “Improving the measurement accuracy of distance and positioning for capacitive proximity detection in human-robot interaction” (2021), addresses a fundamental challenge: enhancing the reliability of non-contact sensing systems. By refining distance and positioning accuracy, this research directly supports the development of robots that can anticipate human movements and respond with greater safety—a key requirement for industrial and service robotics. With 5 citations, this work has already influenced peers exploring sensor fusion and real-time control in HRI. Beyond this paper, Yin’s contributions underscore a commitment to bridging theoretical sensor design with practical deployment, ensuring that robots can operate more seamlessly alongside humans. For students and researchers entering HRI, Yin’s work offers a clear example of how incremental improvements in measurement accuracy can have outsized impacts on system trustworthiness and user safety.
Research Focus
Key Achievements
Top Papers
- 1