Sheyang Tang

Huazhong University of Science and Technology

Papers

Total Citations

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About

Sheyang Tang is a researcher advancing the frontiers of Internet of Things (IoT) and wireless sensing, with a core focus on backscatter localization and robotic-assisted systems. His major contributions lie in developing innovative, low-cost methods to precisely locate low-power backscatter tags—a critical challenge for enabling smart cities and homes. Notably, his most-cited work, "Robot-Assisted Backscatter Localization for IoT Applications" (2020, 36 citations), introduces a novel approach that leverages mobile robots to overcome traditional localization barriers, achieving high accuracy without expensive infrastructure. Tang further refined this concept in "Localizing Backscatters by a Single Robot with Zero Start-Up Cost" (2019), demonstrating a practical, cost-effective solution that eliminates initial calibration overhead. His research directly addresses the scalability and deployment challenges of IoT networks, making ubiquitous connectivity more feasible. With these contributions, Tang has established himself as a key figure in bridging robotics and backscatter communication, offering impactful solutions for real-world smart environment applications.