Anuchit Nirapai
Papers
3
Total Citations
32
H-Index
2
About
Anuchit Nirapai is a rising researcher in intelligent control systems and robotics, with a focus on fuzzy logic, sensor fusion, and autonomous mobility. His work centers on optimizing fuzzy control architectures for real-world robotic applications, particularly in manipulators and assistive devices. In his most cited paper (2023, 26 citations), Nirapai introduced a novel method for tuning membership functions in fuzzy controllers using PID-driven data techniques, significantly improving the performance of robotic manipulators without relying on expert intuition. He has also made notable contributions to the field of self-balancing wheelchairs, conducting a comparative study of Type-1 and Interval Type-2 Takagi-Sugeno-Kang and Mamdani fuzzy logic controllers (2023). This work provides critical insights into controller selection for stability and safety in assistive mobility. More recently (2024), Nirapai has explored sensor fusion for angle estimation, comparing Kalman and complementary filters using IMU6050 data—a foundational technique for navigation and biomedical robotics. His research bridges theoretical fuzzy control with practical implementation, offering systematic, data-driven solutions for complex dynamic systems.
Research Focus
Key Achievements
Top Papers
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