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About

Nuntachai Thongpance is a robotics and control systems researcher whose work bridges human-robot interaction, intelligent control, and assistive technologies. His research focuses on developing precise, adaptive control systems for robotic manipulators, self-balancing platforms, and servo mechanisms. Thongpance’s most cited work, “Robot-arm control system using LEAP motion controller” (2016, 31 citations), pioneered a gesture-based interface for intuitive robot arm control, demonstrating how natural human motion can drive robotic systems. He has made significant contributions to fuzzy logic control, notably through comparative studies of Takagi-Sugeno-Kang and Mamdani algorithms for self-balancing wheelchairs (2023), and hybrid fuzzy-expert systems for robotic manipulators (2025). His work on sensor fusion for angle estimation using Kalman and complementary filters (2024) addresses critical challenges in navigation and biomedical applications. Thongpance has also advanced servo motor precision through PSO-tuned PID and feedforward control (2025), enhancing performance in biomedical and industrial robotics. His research consistently emphasizes real-world applicability, from humanoid robot head control (2017) to comparative analyses of fuzzy membership functions for smooth trajectory tracking. With a growing citation impact, Thongpance’s work stands at the intersection of intelligent control theory and practical robotic implementation.