News | Nam Jai Code Lab

August 18, 2026

New Advisor: Prof. Dr.-Ing. Norman Hoeltz joins the team

On August 18, 2026, Prof. Dr.-Ing. Norman Hoeltz, Professor for Logistics & International Technology Transfer Management and an experienced consultant and mentor, visited Nam Jai Code Lab (NJCL) in Rangsit, Pathum Thani, Thailand.

Prof. Hoeltz is an internationally recognized expert in transportation, logistics, and technology transfer. During his visit, we discussed our shared goal of helping underprivileged young people in Thailand build a career in the tech industry, as well as potential industrial projects such as vertical farming, solar energy, and AI applications.

We are very happy that he will support our lab as an advisor, and we look forward to future discussions and projects with him. Thank you, Prof. Norman!

Connect with Prof. Norman on LinkedIn.

Prof. Dr.-Ing. Norman Hoeltz visiting the Nam Jai Code Lab with Dr. Roland Petrasch and Mrs. Sudarat, standing in front of the NJCL banner — From left to right: Prof. Dr. Roland Petrasch (Advisor NJCL), Mrs. Sudarat (Manager NJCL), and Prof. Dr.-Ing. Norman Hoeltz (Advisor NJCL).

August 2026

Nam Jai Lab welcomes Mr. Tah to join the team

Welcoming Mr. Tah to the Team! 🚀

We are thrilled to welcome Mr. Tah (pictured 2nd from left) to our growing engineering team!

Mr. Tah recently graduated in July 2026 from the prestigious King Mongkut's University of Technology Thonburi (KMUTT) with a degree in Control Systems and Instrumentation Engineering. Bringing a solid academic foundation in modern control theory and system dynamics, he is ready to jump straight into advanced robotics development.

In his new role, Mr. Tah will be driving key capabilities in our Robotics projects. He will focus on building robust control and simulation pipelines leveraging ROS 2, MoveIt 2, Gazebo, MuJoCo, IsaacSim and others.

Mr. Tah being welcomed to the Nam Jai Code Lab team — From left to right: Mr. Richard (AMDISX), Mr. Tah (NJCL Robotics Builder), Mrs. Sudarat (Manager NJCL), and Dr. Roland (Advisor NJCL).

AR3 robot arm at the Nam Jai Code Lab workplace

His work will sit right at the intersection of classical control and modern AI—tackling advanced topics such as Model Predictive Control (MPC), Vision-Language-Action (VLA) models, and seamless Sim-to-Real transfer via physics-based digital twins.

He will be applying these cutting-edge techniques directly to our hardware stack, including multi-DOF arms like the Annin Robotics AR3/AR4 platforms.

We're excited to see the impact he'll make as we continue pushing the boundaries of AI-driven manipulation and autonomous systems.

Welcome aboard, Mr. Tah! Glad to have you with us! 🎉