Shaoqing Xu

Beijing University of Posts and Telecommunications

Papers

Total Citations

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About

Shaoqing Xu is a leading researcher at the intersection of robotics and millimeter-wave (mmWave) wireless networking, whose work is pioneering the use of mobile robots to solve fundamental challenges in high-frequency communication. His primary research areas include robotic mmWave network optimization, environment mapping, and beam alignment. Xu’s major contribution lies in demonstrating how robots can actively navigate and adapt to the highly directional nature of mmWave signals, which are notoriously sensitive to orientation and motion. In his seminal 2019 paper, "Robot Navigation in Radio Beam Space" (16 citations), he introduced a novel framework for maintaining stable multi-Gbps links by treating the radio beam itself as a navigable space. This work was extended in his 2020 study on "Robotic Millimeter-Wave Wireless Networks" (15 citations), which further explored dynamic beam management. Notably, his 2022 work on "Efficient Environment Mapping Using a Commodity Millimeter-Wave Robot" (4 citations) showed how robots can autonomously map reflectors and geometry to optimize network coverage. Xu’s research is critical for enabling future 5G/6G applications, from autonomous vehicles to smart factories, where reliable, high-speed wireless connectivity is essential.