Max Robotics — Global Service Robot Directory + US Certification

About

Ping Hua Tan is a robotics researcher specializing in autonomous navigation, sensor fusion, and fault detection for mobile robots and automated guided vehicles (AGVs). Their work addresses critical challenges in Industry 4.0, particularly enhancing robot reliability and human-robot interaction in dynamic environments. Tan’s notable contributions include developing an AGV test bed for fault simulation and sensor data generation, which advances predictive maintenance in industrial automation. They also proposed a Gaussian pedestrian proxemics model integrated with social force for service robot navigation, improving safe and socially aware movement among humans. Additionally, Tan conducted a performance evaluation of 2-D laser scanners for mobile robot map building and localization, providing benchmarks that guide sensor selection in robotics. With over 19 citations across key publications, including work on sensor fusion for AGV localization, Tan’s research bridges theoretical models and practical implementations. Their achievements are particularly valuable for students and researchers exploring autonomous systems, human-aware navigation, and robust fault detection in real-world robotic applications.