Biography

Dr. 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 (Soft actuation and Control, 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:

• National Chung Cheng University, Taiwan
• Huazhong University of Science and Technology, China
• Guangdong Technion–Israel Institute of Technology, China
• King Mongkut’s University of Technology Thonburi, Thailand

His 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.

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.

Honors

• International Postdoctoral Fellowships (Taiwan, China, Thailand)
• Visiting Scholar appointments at multiple global research universities
• Full Scholarships for Ph.D. and Master’s studies
• Dean’s Award — Top 5 undergraduate students in Electrical Engineering

Awards

• 09.2019: \(''\)Contouring Control Consensus for Robot Manipulators\(''\) won the best young paper award, finalist at The 58^th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Japan.

• 01.2019: \(''\)Sparse Bayesian Learning-based Adaptive Impedance Control in Physical Human-robot-interaction\(''\) won the best paper award at The 2019 International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics.