Hairong Mou

Papers

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About

Hairong Mou is a researcher specializing in mobile robotics, autonomous navigation, and artificial intelligence, with a particular focus on Simultaneous Localization and Mapping (SLAM) technologies. Their work addresses one of the most challenging problems in robotics: enabling mobile robots to navigate and map unknown environments with precision and reliability. Mou's most recognized contribution, "Localization and Navigation Analysis of Mobile Robot Based on SLAM" (2021), has garnered 7 citations and explores how advancements in artificial intelligence are driving the evolution of intelligent robot systems. Complementing this work, their study on probabilistic motion models applies probability theory to represent and manage the inherent uncertainties in robot positioning during movement — a critical step toward building more robust and dependable navigation systems. While Mou's citation record is still developing, their concentrated research in SLAM-based frameworks reflects a meaningful engagement with a field that underpins autonomous vehicles, service robots, and smart manufacturing. Their work demonstrates a commitment to bridging theoretical probabilistic models with practical robotics applications, contributing to the growing body of knowledge that will shape the next generation of intelligent autonomous systems.