Max Robotics — Global Service Robot Directory + US Certification

About

Xu Zhong is a robotics and autonomous systems researcher whose work spans mobile robot navigation, multi-robot coordination, and wireless communication management. His most recognized contribution is a robust indoor self-localization scheme for mobile robots, published in 2017 and accumulating 37 citations, which employs concentric circular ring landmarks to reliably encode positional identity under varying environmental conditions — a practical and elegant solution to a persistent challenge in autonomous navigation. Building on his interest in spatial awareness, Zhong later developed a single-camera trilateration method that estimates a camera's full 3D pose from a single image, advancing lightweight localization techniques grounded in classical perspective geometry. A significant thread throughout his research is the challenge of maintaining reliable wireless communication in multi-robot systems. Across several publications from 2012 to 2014, Zhong explored decentralized control strategies using fuzzy neural networks and reinforcement learning to help robot teams autonomously sustain communication coverage in unpredictable real-world environments. Earlier in his career, he also addressed data center energy efficiency through a tele-operative robotic measurement system. Collectively, his work reflects a sustained commitment to making autonomous and multi-agent robotic systems more reliable, intelligent, and practically deployable across diverse operational settings.