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About

Mai The Anh is a robotics and control systems researcher whose work spans autonomous mobile robotics, fault-tolerant control, and intelligent adaptive control for industrial manipulators. With a growing body of influential publications, Anh has established himself as a contributor to both practical and theoretical advancements in robotic systems. His most-cited work (2021, 10 citations) demonstrates a hands-on approach to autonomous navigation, presenting a low-cost indoor mapping robot leveraging RPLIDAR and Raspberry Pi with SLAM capabilities — a contribution particularly valuable for accessible robotics development. Complementing this, his 2023 research on fault-tolerant control for wheeled mobile robots addresses actuator failures through observer-based schemes, enhancing reliability in real-world deployments. Anh's more recent work pivots toward intelligent control of industrial robot manipulators, with multiple publications exploring adaptive sliding mode control enhanced by Radial Basis Function (RBF) neural networks. These contributions, accumulating citations as recently as 2025, reflect a sustained focus on robust, adaptive systems capable of handling dynamic uncertainties. Collectively, his research bridges embedded hardware implementation and advanced control theory, offering practical solutions for next-generation autonomous and industrial robotic systems.