Shaoxian Wang
Papers
1
Total Citations
4
H-Index
1
About
Shaoxian Wang is a robotics researcher whose work focuses on human-robot interaction and sensor-based motion localization. His key research area lies in developing lightweight, robust sensing systems that enable robots to detect and follow human targets in real-world environments. His most-cited paper, "Using bearing-sensitive infrared sensor arrays in Motion localization for human-following robots" (2013), introduces an innovative approach that leverages pyroelectric infrared (PIR) sensor arrays to generate bearing measurements of a human target. By employing a two-step localization process, Wang’s method enhances the reliability of human-following robots while maintaining low computational and hardware costs. This work has garnered 4 citations and represents a foundational contribution to the field of non-vision-based human tracking. Wang’s research is particularly notable for its practical emphasis on lightweight and robust solutions, making it valuable for applications in service robotics, assistive technologies, and autonomous navigation. His contributions continue to influence the development of cost-effective sensor systems that bridge the gap between sensing accuracy and real-time performance.
Research Focus
Key Achievements
Top Papers
- 1