Narumol Chumuang
Papers
3
Total Citations
67
H-Index
3
About
Narumol Chumuang is a robotics researcher whose work bridges artificial intelligence, cybernetics, and affordable automation. Her key research areas include robotic manipulation, unmanned systems, and deep learning for attitude estimation. Her most impactful contribution is a 2022 study (32 citations) that developed feature matching and deep learning models for attitude estimation on micro-aerial vehicles, addressing critical cybersecurity vulnerabilities in robotic applications. Chumuang has also made significant strides in accessible robotics: she designed and fabricated a low-cost SCARA 4-DOF robotic manipulator for pick-and-place operations (24 citations), and developed a solar-powered 4-DOF robotic arm mounted on an unmanned ground vehicle (11 citations). These projects demonstrate her commitment to creating affordable, locally manufactured automation solutions for industries like textiles, agriculture, and assembly lines. Her work on the solar-powered UGV manipulator particularly stands out for its robust, efficient design that enables real-world payload lifting tasks. Through her research, Chumuang is advancing both the theoretical foundations of robotic cybernetics and the practical deployment of cost-effective robotic systems.
Research Focus
Key Achievements
Top Papers
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