Max Robotics — Global Service Robot Directory + US Certification

About

Alan Miao Zhang’s research lies at the intersection of robotic perception, visual navigation, and anomaly detection, with a focus on enabling mobile robots to operate autonomously in real-world environments. His most cited work, “Fast global reflectional symmetry detection for robotic grasping and visual tracking” (26 citations), introduced a novel method using image gradients and edge pixel matching to identify axes of symmetry—a critical capability for robots interacting with symmetrical domestic objects. Zhang also advanced visual route following in large-scale outdoor settings, developing a robust appearance-based algorithm that relies solely on monocular panoramic vision and odometry (7 citations). His contributions to surveillance robotics are highlighted in “Anomaly detection and tracking for a patrolling robot” (20 citations), where a robot repeats a trained route and detects visual anomalies via panoramic vision. Additionally, Zhang addressed terrain assessment in “Surface roughness measurement for outdoor mobile robotic applications” (5 citations), prototyping a camera-laser system for measuring ground roughness. Collectively, his work demonstrates a consistent drive to equip robots with practical, vision-driven autonomy for both structured and unstructured environments, laying groundwork for safer and more adaptive robotic systems.