Dianhan Xie
Papers
2
Total Citations
24
H-Index
2
About
Dianhan Xie is a researcher at the forefront of robotic perception and the Internet of Things (IoT), with a focused expertise in portable radio-frequency identification (RFID) localization for mobile robots. Her major contribution lies in solving a critical challenge: enabling robots to accurately locate RFID-tagged objects without relying on bulky, fixed infrastructure. Her most-cited work, "A Portable RFID Localization Approach for Mobile Robots" (2022, 19 citations), introduces a novel system that achieves high localization accuracy while maintaining mobility, a significant leap forward for practical IoT applications like warehouse automation and smart environments. This builds on her earlier foundational paper, "POLO: Localizing RFID-Tagged Objects for Mobile Robots" (2021), which first proposed the concept of a portable solution. By demonstrating that precise, infrastructure-free localization is achievable, Xie’s research directly addresses the feasibility gap that previously hindered real-world deployment. Her work is not only technically rigorous but also highly applied, offering a clear pathway for integrating RFID sensing into autonomous robotic systems. For students and researchers in robotics and IoT, Xie’s contributions represent a pivotal step toward truly autonomous, context-aware robots that can seamlessly interact with their tagged environments.
Research Focus
Key Achievements
Top Papers
- 1A Portable RFID Localization Approach for Mobile Robots19 citations · 2022
- 2POLO: Localizing RFID-Tagged Objects for Mobile Robots5 citations · 2021