Van-Huy Pham

Papers

Total Citations

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About

Van-Huy Pham is a robotics researcher whose work bridges the gap between autonomous navigation and smart manufacturing. His research focuses on motion planning, sensor-based communication, and the integration of immersive technologies with artificial intelligence. In his highly cited 2018 paper, Pham pioneered the use of Bug algorithms combined with sonar and ultrasonic sensors for encoded communication in motion planning, enabling robots to navigate complex environments more efficiently. This foundational work has garnered 8 citations and remains a reference point for sensor-driven autonomous systems. More recently, Pham has ventured into the future of Industry 4.0 with his 2025 paper on virtual, augmented, and mixed reality robotics-assisted deep reinforcement learning for smart manufacturing. This cutting-edge research demonstrates how welding robots can be optimized through accurate simulation and AI-driven training, reducing errors and enhancing precision in real-world production lines. By merging deep reinforcement learning with immersive simulation environments, Pham is shaping the next generation of adaptive, intelligent manufacturing systems. His work continues to inspire students and researchers exploring the intersection of robotics, sensor technology, and industrial automation.