Yinda Xu
Papers
1
Total Citations
5
H-Index
1
About
Yinda Xu is a leading researcher in the field of intelligent sensing and human-robot interaction, with a primary focus on leveraging millimeter-wave (mmWave) signals for non-line-of-sight (NLoS) perception. Her most cited work, "Tracking the Occluded Indoor Target With Scattered Millimeter Wave Signal" (2024, 5 citations), addresses a critical safety challenge in autonomous robotics: the inability to detect and track humans hidden behind obstacles like corners or walls. By exploiting scattered mmWave signals, Xu’s research enables robots to locate and follow occluded targets, significantly reducing collision risks in dynamic environments such as factories, warehouses, and hospitals. This contribution bridges a key gap in robotic perception, offering a practical solution for real-world human-robot coexistence. While her citation count is still growing, the novelty and timeliness of her work underscore its potential to influence next-generation safety systems in autonomous navigation. Xu’s research stands out for its direct application to pressing industrial and healthcare challenges, marking her as an emerging innovator in pervasive sensing and human-aware robotics.
Research Focus
Key Achievements
Top Papers
- 1