Wannadear Nawae
Papers
1
Total Citations
19
H-Index
1
About
Dr. Wannadear Nawae is a leading researcher in advanced motor control and machine learning applications for robotics. Their primary focus lies in the modeling, estimation, and safe operation of Permanent Magnet Synchronous Motors (PMSM), which are critical components in robotic arms for industrial, medical, and home service applications. Dr. Nawae’s most cited work, "PMSM Torque Estimation Based on Machine Learning Techniques" (2020, 19 citations), introduces innovative data-driven methods to accurately estimate motor torque without relying on traditional physical sensors. This contribution is pivotal for enhancing the safety and awareness of robotic systems operating in close proximity to humans, as it allows for real-time monitoring of operating conditions. By bridging machine learning with electromechanical systems, Dr. Nawae has provided a foundation for more adaptive, reliable, and human-friendly robotics. Their research not only advances the theoretical understanding of PMSM dynamics but also offers practical solutions for next-generation collaborative robots, making a significant impact on the field of intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1PMSM Torque Estimation Based on Machine Learning Techniques19 citations · 2020