Papers

5

Total Citations

35

H-Index

4

About

Diana Zhang is a robotics and wireless sensing researcher whose work sits at the intersection of autonomous systems, signal processing, and multimodal perception. She has made significant contributions to two interconnected domains: WiFi-based relative sensing for collaborative robotics and radar-camera fusion for long-range depth imaging. Zhang's most influential line of work centers on the Wireless Signal-based Sensing for Robotics (WSR) framework, which enables robot teams to measure relative direction — or Angle-of-Arrival — to one another without external infrastructure, even in non-line-of-sight and occluded environments. This capability addresses a fundamental challenge in multi-robot coordination, and her development of the open-source WSR toolbox has made these methods practically accessible to the broader robotics community. Together, these papers have accumulated over 25 citations since 2020, reflecting growing community interest. Her work on mmWave radar and camera fusion further demonstrates her versatility, tackling the demanding problem of high-accuracy depth estimation at ranges up to 300 meters — critical for perimeter surveillance and robotic geo-fencing applications. Collectively, Zhang's research advances robust, infrastructure-free sensing solutions that push autonomous systems to operate reliably in challenging real-world environments.

Research Focus

Key Achievements

4
H-Index
5
Papers
35
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Exploring mmWave Radar and Camera Fusion for High-Resolution and Long-Range Depth Imaging
10 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Johns Hopkins University Applied Physics Laboratory, Carnegie Mellon University, TechLab (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago