Supachai Keawkao
Papers
1
Total Citations
2
H-Index
1
About
Supachai Keawkao is a researcher focused on sensor fusion, control systems, and robotics engineering. His most-cited work, "Comparative Analysis of Sensor Fusion for Angle Estimation Using Kalman and Complementary Filters" (2024), addresses a fundamental challenge in navigation and biomedical applications: achieving accurate angle estimation from inertial measurement units. By systematically comparing Kalman and complementary filter approaches using IMU6050 sensor data, Keawkao provides engineers with practical insights for selecting optimal sensor fusion strategies. His research directly impacts autonomous systems, where precise orientation tracking is critical for stability and performance. Though early in his citation trajectory, Keawkao's work demonstrates rigorous experimental methodology and fills a vital gap in applied sensor fusion literature. His contributions help bridge theoretical filter design with real-world implementation constraints, offering clear guidance for practitioners developing robots, drones, and wearable health monitors. As sensor-driven technologies proliferate, Keawkao's comparative framework serves as a valuable reference for students and engineers seeking to optimize angle estimation without excessive computational overhead.
Research Focus
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Top Papers
- 1