Thanana
Home
Biography
Publication
Research
Tactile Intelligence
Seeing Beyond Vision
Holonomic Systems
Data-driven Control
Large-scale System
Teaching
Reinforcement Learning
Software
Robotics
Image Processing

Thanana Nuchkrua, Ph.D.

Thanana Nuchkrua 

Robotics & Control Researcher | Compliant Intelligence

Independent PI in Control and Robotics group

Highlights:

  • 09.2019: \(''\)Contouring Control Consensus for Robot Manipulators\(''\) won the best young paper award, finalist at The 58th 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.

Research Interests

  • Data-driven and learning-enabled control of complex robotic and cyber-physical systems.

  • Safe human–robot interaction and decision-making under uncertainty.

  • Soft robotics and compliant actuation (e.g., pneumatic artificial muscles, Deep SSSM for HRI).

Research Vision

My long-term goal is to build robots that can learn to feel and decide — machines that not only control motion but also interpret and adapt to uncertainty through touch. I call this idea Compliant Intelligence: the ability of a robot to maintain stability not by resisting disturbances, but by adapting to them. This principle integrates tactile sensing, deep stochastic modeling, and Bayesian / Deep MPC to enable dexterous and human-compatible manipulation.

→ Tactile Intelligence Loop Project

Professional Services

Reviewer Board

  • Machines

Program Committee

  • The 2025 International Conference on Automation and Intelligent Technology (ICAIT 2025), China.

  • The 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO 2019), Yunnan, China.

Session Chair

  • \(''\)Model Learning for Control\(''\), 14th IEEE International Conference on Automation Science and Engineering (CASE 2018), August 20-24, 2018, TU München, Germany.

  • \(''\)Robotic and Automation Systems II\(''\), The 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), September 10-13, 2019, Hiroshima, Japan.

Selected Talk

  • Control, Learning, and Optimization: from physic-based to data-driven

  • Learning-based Non-linear Adaptive Robust Control Framework: Dual-arm Robot