Xinzhong Wang

Shenzhen Institute of Information Technology

Papers

Total Citations

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About

Xinzhong Wang is a leading researcher in wireless sensor networks and ultra-wideband (UWB) localization, with a focus on advancing robot positioning systems. His most-cited work, "Accurate Joint Estimation of Position and Orientation Based on Angle of Arrival and Two-Way Ranging of Ultra-Wideband Technology" (2025), addresses a critical challenge in robotics: simultaneously estimating a robot’s position and orientation without relying on rigid body models that demand multiple base stations. By integrating angle-of-arrival (AoA) and two-way ranging (TWR) techniques, Wang’s approach enhances accuracy and flexibility in dynamic environments, offering a more practical solution for autonomous navigation. This contribution has already garnered attention, with 5 citations shortly after publication, signaling its growing impact on the field. Wang’s work is pivotal for applications in industrial automation, drone swarms, and mobile robotics, where precise localization is essential. His innovative methods reduce hardware complexity while improving reliability, making UWB technology more accessible for real-world deployments. As a researcher, Wang continues to push boundaries in sensor fusion and wireless communication, establishing himself as a key figure in the evolution of intelligent robotic systems.