Max Robotics — Global Service Robot Directory + US Certification

About

Xuemei Guo is a researcher specializing in robotics sensing, indoor localization, and autonomous mobile systems. Her work has made significant contributions to the development of lightweight, cost-effective sensing technologies that enable robots to detect, localize, and follow human targets in real-world environments. Most notably, Guo pioneered the design and optimization of pyroelectric infrared (PIR) sensor-based systems, exploring compressed bearing sensor arrays and genetic algorithm-driven optimal sensor placement to maximize human localization accuracy — work that has collectively garnered over 40 citations. Her 2012 paper on infrared motion sensing for human-following robots remains her most influential contribution, establishing a foundational framework that subsequent studies refined and extended. Beyond infrared sensing, Guo has broadened her research portfolio to include RFID-based indoor robot navigation, smart fiber floor systems for pressure-mapped target localization, and real-time visual tracking using Meanshift algorithms. This versatility reflects her sustained commitment to solving practical challenges in human-robot interaction and indoor positioning. Her body of work offers students and engineers a valuable toolkit of sensor fusion strategies and localization methodologies applicable across service robotics and smart environment research.