Nat Dilokthanakul


Nat is a postdoctoral researcher at the school of information science and technology, VISTEC. His research focuses on the designs of autonomous and adaptive agents. The goal of his work is to enable robots to work in uncontrolled environments and alongside humans. He co-leads multiple industrial projects within IST, including pipe-inspection robot projects, a robot-data platform, and a service robotic project.



Collaborative Agents

We are interested in machine learning algorithms that enable agents to be collaborative. An agent with collaborative skills can reason about other agents' state-of-mind and adapts its behaviour accordingly.


Human-Machine Collaboration and Communication

A better human-AI interface will make it much easier to operate a robot in complex tasks.


Adaptive Locomotion Control

A robot with a robust locomotion controller can operate in unforgiving domains by adapting its behaviours. Is there a generic and simple adaptivity rule that enable such behaviours?

Visual Representation Learning, Navigation and Manipulation

Navigation and Manipulation require high-level cognitive abilities. What is the best representation for these kind of reasoning tasks?



Preprints and Workshops

Vidyasirimedhi Institute of Science and Technology (VISTEC). Wangchan Valley 555 Moo 1 Payupnai, Wangchan, Rayong 21210 Thailand.