Thanate Angsuwatanakul
Papers
1
Total Citations
2
H-Index
1
About
Thanate Angsuwatanakul is a researcher whose work bridges the critical intersection of control systems engineering and practical robotics, with a particular focus on enhancing the performance of low-cost, widely-used servo motors. His primary research areas include precision motion control, optimization algorithms, and embedded system design. Angsuwatanakul’s major contribution lies in developing advanced control strategies for factory-locked MG996R servo motors, which are common in biomedical and robotic applications but lack inherent feedback mechanisms. In his most-cited work, "Enhancing MG996R Servo Motor Performance Using PSO-Tuned PID and Feedforward Control" (2025), he proposed a novel technique that combines Particle Swarm Optimization (PSO) with PID and feedforward control to significantly improve motor precision. This approach addresses a fundamental challenge in robotics: achieving high accuracy with affordable, off-the-shelf components. While his citation count is still growing, the practical implications of his work are substantial, offering cost-effective solutions for researchers and engineers in fields ranging from prosthetics to industrial automation. Angsuwatanakul’s research exemplifies how sophisticated control theory can be applied to democratize access to precision robotics.
Research Focus
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Top Papers
- 1