From July 8 to 10, 2026, the Faculty of Information and Communication Technology, Mahidol University (ICT Mahidol), in collaboration with the Ministry of Higher Education, Science, Research and Innovation (MHESI); the Program Management Unit for Frontier Brainpower and Future Industries (PMU-B); the AI Engineering Institute (AIEI); Amazon Web Services (AWS); SiS Distribution (Thailand) Public Company Limited; and NVIDIA (Thailand), organized the “AI Robotic – Physical AI (Technology Stack)” training course on “Developing ROS2 Application with NVIDIA Isaac Sim.” The training was conducted under the second year of the Artificial Intelligence Workforce Development Project for Industrial Entrepreneurs and Industrial Software Service Providers (A-FTI). On this occasion, Dr. Sakuna Charoenpanyasak, Lecturer in the Computer Science Academic Group, delivered welcoming remarks to the participants. Mr. Thitiwat Munintarawong, an independent developer and founder of the OmniCraft page, served as the instructor and shared his expertise with 60 participants from public- and private-sector organizations. The training was held in Computer Laboratories IT211–212, 2nd floor, Faculty of ICT, Mahidol University, Salaya Campus.
The training aimed to strengthen workforce capabilities in artificial intelligence, robotics, and Physical AI through hands-on learning in application development using ROS 2 and NVIDIA Isaac Sim. These technologies play an important role in robotic system simulation, the creation of three-dimensional virtual environments, and the application of Digital Twin technology to support the development of solutions for modern industries. Throughout the three-day training, participants gained both theoretical knowledge and practical experience in a wide range of topics. These included the fundamentals of simulation development and three-dimensional scene management using Isaac Sim and OpenUSD; the installation and configuration of Isaac Sim; an introduction to the Isaac Sim Python API; and the simulation of a Digital Twin-based robotic pick-and-place system using the Motion Generation API. Participants also learned the fundamentals of ROS 2 programming, the configuration of ROS 2 workspaces, and the use of Docker with Isaac Sim. Practical sessions covered robotic arm control using ROS 2, OmniGraph, and MoveIt 2; the configuration of depth cameras and inertial measurement unit (IMU) sensors for integration with ROS 2; TurtleBot control; and sensor data visualization using Foxglove Studio. In addition, participants were introduced to Synthetic Data Generation and Isaac Lab to enhance their understanding of simulation systems and synthetic data development for robotics and artificial intelligence applications.
The second year of the Artificial Intelligence Workforce Development Project for Industrial Entrepreneurs and Industrial Software Service Providers (A-FTI) was initiated to develop AI professionals for Thailand’s private sector and equip them with the capabilities required to address real-world artificial intelligence challenges in the industrial sector. The project serves both industrial entrepreneurs and industrial software service providers by strengthening their knowledge, understanding, and practical skills in applying AI to improve operational efficiency and enhance industrial competitiveness. The project also promotes hands-on learning in collaboration with selected participating enterprises. This approach supports the development of model industrial enterprises in the field of artificial intelligence and enables business operators to recognize the tangible benefits and practical value of adopting AI technologies in their operations.
