Tan-Phat Phan

Papers

Total Citations

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About

Tan-Phat Phan is a robotics researcher whose work centers on autonomous navigation, path planning, and intelligent control systems for wheeled and mobile robots. His primary contributions lie in developing integrated, image-based path planning frameworks that combine computer vision, clustering algorithms, and fuzzy inference to enable robots to navigate complex, obstacle-filled environments efficiently. In his most cited work, "Robot path planning and smoothing based on fuzzy inference" (2014, 10 citations), Phan proposed a system that uses image capture, obstacle clustering, and fuzzy logic to generate smooth, collision-free paths while significantly reducing planning time. A related study on image-based smooth path planning for wheeled robots (2014, 2 citations) further refined this approach by incorporating Voronoi diagrams and fuzzy smoothing. Phan’s research addresses a key challenge in mobile robotics: balancing computational efficiency with path quality in real-world settings. His work is notable for its practical, sensor-driven methodology, making it relevant for applications in service robotics, autonomous vehicles, and industrial automation. Though his citation counts are modest, his contributions offer a clear, implementable framework for students and researchers exploring intelligent navigation systems.