Krittameth Teachasrisaksakul

Imperial College London, Thammasat University

Papers

Total Citations

H-Index

About

Krittameth Teachasrisaksakul is a robotics researcher whose work bridges human motion analysis and humanoid robot control, with a particular focus on enabling robots to learn natural movements through human demonstration. His primary research areas include humanoid robotics, body sensor networks (BSN), motion imitation, and auditory perception for robot navigation. Teachasrisaksakul’s most significant contribution is his pioneering framework for whole-body motion training, where he leveraged wearable BSN sensors to capture human gait and movement patterns, then transferred these to humanoid robots for dynamic walking imitation. His 2015 paper on this topic, which has accumulated 13 citations, proposed a novel approach that allowed robots to replicate complex, natural motions without extensive preprogramming—a key step toward more intuitive human-robot interaction. In parallel, he developed a Bayesian speaker tracking module for indoor robot navigation, enabling mobile service robots to locate and approach humans through voice commands alone. Though his publication record is concise, his work demonstrates a clear trajectory from sensor-based motion capture to practical robot control, contributing to the growing field of assistive and service robotics where natural interaction is paramount.