Max Robotics — Global Service Robot Directory + US Certification

About

Miaolong Yuan is a robotics researcher whose work sits at the intersection of autonomous navigation, bio-inspired spatial cognition, and motor control. His most influential contribution is an improved frontier-based approach for autonomous exploration (68 citations), which enables mobile robots to efficiently map unknown environments by identifying and navigating toward unexplored boundaries. Yuan has also made significant strides in computational neuroscience, developing an entorhinal-hippocampal model for simultaneous cognitive map building (37 citations) that mimics how grid cells and place cells form spatial representations in the brain. His work on asymptotic stabilization of nonholonomic robots (26 citations) addresses the challenging problem of controlling robots with motion constraints, while his direction-driven navigation system (20 citations) offers a more intuitive alternative to global path planning. Yuan’s research extends to real-time vision systems, including keypoint recognition using Restricted Boltzmann Machines (14 citations) and switching particle filters for localization. His collaborative robotic approach for industrial inspection and anomaly detection (2021) demonstrates the practical application of his navigation and perception expertise. With over 180 total citations across his publications, Yuan’s work bridges the gap between biological principles of spatial learning and practical robotic autonomy.