BiographyDr. Thanana Nuchkrua is a robotics and control researcher specializing in robust and adaptive control, data-driven modeling, human–robot interaction, and soft robotics. Since completing his Ph.D. in Mechanical Engineering (Science and Technology, 2015), he has pursued several international research appointments. He has served as a Postdoctoral Researcher, Research Associate (Faculty), and later as a Visiting Scholar at leading institutions including:
Research VisionHis research vision focuses on advancing uncertainty-aware and learning-enabled control frameworks that integrate model-based control theory, reinforcement learning, and Bayesian inference to achieve robust, adaptive, and safe robot behavior. His recent contributions include compliant control strategies for hydrogen-powered pneumatic artificial muscles (IEEE Transactions on Industrial Electronics, 2022) and the development of Deep Stochastic State-Space Models (Deep SSSM) for occlusion-robust visual manipulation and human–robot collaboration. These efforts aim to bridge control theory with data-driven learning, contributing to next-generation applications in soft actuation, autonomous manipulation, shared autonomy, and large-scale cyber–physical systems. “Bridging control and intelligence — from robust models to adaptive, embodied robotics.” Challenge the limits of stability, Change the way robots adapt, and create lasting Impact through intelligent control. Honors & Awards
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