Ma Ngoc Thanh Nhan

Ho Chi Minh City University of Technology and Engineering

Papers

Total Citations

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About

Dr. Ma Ngoc Thanh Nhan is a leading researcher in robotics and intelligent control systems, with a particular focus on parallel manipulators and adaptive neuro-fuzzy inference. His most cited work, "Solving inverse kinematics of delta robot using ANFIS" (2015, 8 citations), introduces a novel methodology that leverages the Adaptive Neuro-Fuzzy Inference System to address the complex inverse kinematics challenges of Delta parallel robots. By designing a five-layer neural network to fine-tune membership function parameters in a fuzzy logic controller, Dr. Nhan's approach significantly enhances the precision and efficiency of robotic motion control. This contribution bridges the gap between traditional kinematic solutions and modern AI-driven techniques, offering a robust framework for real-time applications in automation and manufacturing. Beyond this landmark paper, his research continues to explore the integration of soft computing and robotics, aiming to improve the adaptability and performance of automated systems. With a growing citation impact, Dr. Nhan's work is recognized for its practical relevance and theoretical depth, inspiring further advancements in intelligent robotic design and control.