Apinai Rerkratn
Papers
2
Total Citations
8
H-Index
2
About
Apinai Rerkratn is a robotics and instrumentation researcher whose work bridges the gap between theoretical kinematics and practical sensor systems. His primary research areas include robotic kinematics, sensor signal conditioning, and precision measurement systems. Rerkratn’s most influential contribution is a 2016 paper on converting Tool Center Point (TCP) positions to joint values for 6-DOF robots, which presents a novel technique for translating between four-bar link structure (FBLS) and direct link structure (DLS) robots. This work, cited 6 times, enables effective robot replacement and introduces a more efficient robot model for industrial applications. More recently, in 2024, Rerkratn proposed an innovative signal conditioning circuit for Linear Variable Differential Transformers (LVDT) using a phase-locked loop technique, demonstrating his continued focus on improving sensor accuracy and reliability. His work on extracting position signals from inductive displacement transducers shows promise for precision measurement applications. Rerkratn’s research is particularly valuable for engineers and researchers working on robot kinematics, sensor design, and industrial automation, offering practical solutions that enhance both robotic performance and measurement precision.
Research Focus
Key Achievements
Top Papers
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