Goragod Pongthanisorn
Papers
5
Total Citations
16
H-Index
3
About
Goragod Pongthanisorn is a rising researcher at the intersection of brain-machine interfaces (BMI), robotics, and artificial intelligence. His work focuses on optimizing EEG-based communication systems to enable seamless control of robotic devices, particularly for assistive technologies. Pongthanisorn’s major contributions include pioneering channel optimization techniques for wireless BMI systems—using genetic algorithms and deep Q-learning—to improve signal quality and reduce computational load. His 2023 paper on EEG channel optimization for Internet of Robotic Things has garnered 7 citations, establishing a foundation for efficient, real-time brain-controlled robotics. He has also advanced transfer learning in convolutional neural networks for BMI, achieving faster training times without sacrificing accuracy. Beyond neural interfaces, Pongthanisorn has explored robot self-localization using variational autoencoders and developed a vision-based recognition system for autonomous cooking robots. His interdisciplinary approach bridges neuroscience, machine learning, and robotics, with growing impact in the field of intelligent human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 5Vision-Based Yakiniku Recognition System for Autonomous Cooking Robot1 citations · 2023