Wittawin Kahuttanaseth

King Mongkut's University of Technology North Bangkok

Papers

Total Citations

H-Index

About

Wittawin Kahuttanaseth is a researcher at the forefront of human-robot interaction, specializing in natural language processing (NLP) and machine learning. His most-cited work, "Commanding mobile robot movement based on natural language processing with RNN encoder-decoder" (2018), has garnered 17 citations for its innovative approach to bridging human communication and robotic control. In this seminal study, Kahuttanaseth developed a software system that interprets natural language movement commands using a recurrent neural network (RNN) encoder-decoder architecture, enabling intuitive, non-technical interaction with mobile robots. This contribution addresses a critical challenge in robotics—making machine control accessible to humans without specialized programming skills. His research sits at the intersection of computational linguistics, artificial intelligence, and autonomous systems, with implications for assistive robotics, smart manufacturing, and human-centered automation. By demonstrating that complex robotic tasks can be commanded through everyday language, Kahuttanaseth has laid groundwork for more seamless human-machine collaboration. His work continues to inspire advancements in NLP-driven robotics, particularly in developing more responsive and context-aware systems for real-world applications.