Ho Sy Phuong

Vinh University, Vinh Long University of Technology Education

Papers

Total Citations

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About

Ho Sy Phuong is a robotics researcher specializing in autonomous navigation, intelligent control systems, and fault-tolerant robotics. His work bridges practical hardware implementation and advanced control theory, with a focus on making robotic systems more reliable and accessible. His most cited paper, "The Practice of Mapping-based Navigation System for Indoor Robot with RPLIDAR and Raspberry Pi" (2021, 10 citations), demonstrates a low-cost SLAM-based mobile robot prototype, making autonomous mapping more attainable for research and education. In "Adaptive Terminal Sliding Mode Control Using RBF Neural Network for Industrial Robot Manipulators" (2025, 5 citations), he proposes a neural network-enhanced control method that improves precision and robustness in industrial settings. His contribution to safety-critical robotics is evident in "Proposal of a Fault-tolerant controller for wheeled mobile robots with faulty actuators" (2023, 4 citations), where he designs an observer-based control scheme to maintain performance despite actuator failures. Together, these works reflect a career dedicated to creating smarter, safer, and more cost-effective robotic systems for real-world applications.