Yuan Miaolong

Institute for Infocomm Research, Agency for Science, Technology and Research

Papers

Total Citations

H-Index

About

Yuan Miaolong is a robotics researcher whose work bridges cognitive robotics, autonomous navigation, and intelligent manufacturing. His research focuses on developing brain-inspired systems for mobile robots, particularly in spatial cognition, object manipulation, and predictive maintenance. His most cited work, "RGB-D based cognitive map building and navigation" (2013, 35 citations), presents a pioneering biologically-inspired SLAM system that uses RGB-D sensors to construct spatial cognitive maps, enabling robots to navigate office environments with human-like spatial understanding. This foundational contribution to cognitive robotics has influenced subsequent work in autonomous navigation. In manufacturing, his 2020 paper on cognitive analytics for machine health monitoring (13 citations) addresses critical limitations in traditional machine learning approaches by reducing manual annotation requirements and enabling adaptive, online learning for predictive maintenance. His more recent work on automatic object searching (2017, 7 citations) and synergy between pushing and grasping for clustered objects (2023, 5 citations) demonstrates his continued focus on practical robotic manipulation in unstructured environments. Yuan’s research uniquely combines insights from neuroscience, computer vision, and manufacturing analytics, making significant contributions to both theoretical understanding and practical applications in autonomous systems.