Xinjue Wang
Papers
1
Total Citations
5
H-Index
1
About
Xinjue Wang is a pioneering researcher at the intersection of robotics, sensing, and human-robot interaction, with a focus on overcoming the critical challenge of nonline-of-sight (NLoS) perception. Wang’s most cited work, “Tracking the Occluded Indoor Target With Scattered Millimeter Wave Signal” (2024, 5 citations), introduces a groundbreaking method for enabling mobile robots to locate and track humans hidden behind obstacles like corners using scattered millimeter-wave signals. This contribution directly addresses safety concerns in industrial settings—factories, warehouses, and hospitals—where human-machine collisions pose serious risks. By developing robots that can “see” around corners, Wang’s research advances the frontier of autonomous navigation and collision avoidance in cluttered, dynamic environments. The work is notable for its practical application of millimeter-wave sensing, a technology typically used in communications, to solve a real-world robotics problem. Wang’s innovative approach has the potential to transform safety protocols in human-robot collaborative spaces, making autonomous systems more reliable and responsive. As a rising voice in the field, Wang’s research promises to reshape how robots perceive and interact with their surroundings, particularly in occluded scenarios.
Research Focus
Key Achievements
Top Papers
- 1