Narameth Nananukul

Papers

Total Citations

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About

Narameth Nananukul is a researcher advancing the intersection of machine learning and autonomous systems, with a particular focus on dynamic path planning and Industry 4.0 applications. His most-cited work, "Machine Learning Model for a Dynamic Path Planning Problem" (2020), addresses the challenge of enabling autonomous transportation systems to adapt in real-time to changing operational conditions. By integrating machine learning techniques into path planning, Nananukul contributes to the development of smarter, more efficient autonomous vehicles and logistics networks—a critical need in modern manufacturing and supply chain environments. While his citation count is still growing, his work is foundational for researchers exploring adaptive algorithms in robotics and industrial automation. Nananukul’s research is especially relevant for students and engineers seeking to apply AI to real-world operational challenges, bridging the gap between theoretical machine learning models and practical, industry-driven solutions. His contributions highlight the potential of data-driven approaches to revolutionize autonomous navigation and operational efficiency in the era of smart factories.