Anh Tong Ngoc Minh
Frankfurt University of Applied Sciences, Goethe University Frankfurt
Papers
2
Total Citations
7
H-Index
2
About
Anh Tong Ngoc Minh is an emerging researcher specializing in autonomous robotics, path planning optimization, and intelligent computational methods. His work focuses on applying meta-heuristic algorithms — particularly Ant Colony Optimization (ACO) — to solve complex navigation challenges faced by autonomous robots in real-world environments such as manufacturing facilities and social support industries. His most notable contribution, "Comparison of Conventional and Modified Ant Colony Approaches for Path Planning of Robot in an Indoor Environment" (2024), has garnered 5 citations and demonstrates his commitment to advancing robot autonomy through algorithmic innovation. Complementing this, his 2023 study integrating fuzzy logic systems with modified Ant Colony algorithms further showcases his ability to combine multiple intelligent techniques to enhance robustness and adaptability in complex environments. Minh's research addresses a critically practical need: enabling autonomous robots to navigate efficiently and reliably in dynamic, unpredictable settings. By systematically comparing conventional and modified approaches, he provides the research community with clear, evidence-based insights into which computational strategies yield superior performance. Though early in his career, his growing citation record signals meaningful contributions to the fields of robotics, artificial intelligence, and industrial automation.
Research Focus
Key Achievements
Top Papers
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- 2