Ta Hung Cuong
Papers
2
Total Citations
15
H-Index
2
About
Ta Hung Cuong is a robotics researcher whose work bridges the gap between affordable hardware and advanced control systems for autonomous navigation and manipulation. His primary research areas include indoor mobile robot mapping, simultaneous localization and mapping (SLAM), and intelligent control for industrial manipulators. Cuong’s most cited paper, "The Practice of Mapping-based Navigation System for Indoor Robot with RPLIDAR and Raspberry Pi" (2021, 10 citations), demonstrates his commitment to accessible robotics—prototyping a low-cost mapping robot that integrates a Raspberry Pi with RPLIDAR A1 and Arduino, enabling SLAM capabilities on a budget. This work has practical implications for education and small-scale automation. More recently, his 2025 paper on "Adaptive Terminal Sliding Mode Control Using RBF Neural Network for Industrial Robot Manipulators" (5 citations) showcases his evolution into advanced control theory, combining neural networks with sliding mode control to enhance precision and robustness in industrial settings. Cuong’s contributions are notable for their dual focus: democratizing robotics through cost-effective designs while pushing the envelope on adaptive control, making his research valuable for both students building their first robots and engineers seeking smarter automation solutions.
Research Focus
Key Achievements
Top Papers
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