Pawichaya Pisa
Papers
1
Total Citations
2
H-Index
1
About
Pawichaya Pisa is an emerging researcher in the field of sensor fusion and control systems engineering, with a focused interest in improving the accuracy and reliability of angle estimation for robotics, navigation, and biomedical applications. Their most cited work, "Comparative Analysis of Sensor Fusion for Angle Estimation Using Kalman and Complementary Filters" (2024), provides a rigorous experimental comparison of two fundamental sensor fusion techniques using the IMU6050 sensor. By systematically evaluating the Kalman filter against the complementary filter, Pisa's research offers practical guidance for engineers seeking optimal performance in real-time orientation tracking. This work has already garnered 2 citations shortly after publication, indicating growing interest in their contributions. Pisa's research addresses a critical challenge in autonomous systems: achieving precise angular measurements from noisy inertial sensor data. Their comparative methodology helps bridge the gap between theoretical filter design and practical implementation, making their findings valuable for both academic researchers and industry practitioners working on drones, mobile robots, and wearable health monitors. As sensor fusion continues to underpin advances in autonomous navigation and human-machine interfaces, Pisa's work represents an important step toward more robust and efficient estimation algorithms.
Research Focus
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Top Papers
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