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Thomas Thelliez Field Notes

Physical AI, Robotics
and Product Engineering

Field-tested notes on robotics safety, ROS 2, embedded AI, AI agents, SaaS architecture and the practical systems that connect software to real-world outcomes.

Physical AI Robotics Safety SaaS Engineering
2026
Feb 20

World Models in Robotics - How Robots Learn to Predict the Future (and Why It Changes Everything)

Feb 16

Containerizing Robotic Systems Without Losing Your Mind

Feb 13

AI in Robotics - An LLM Is Not a Brain - The Real Role of LLMs — and Other AI Models — in a Cyber-Physical system

Feb 9

Install a Local AI Runtime (Jarvis-like) container on Jetson Orin Nano with Isaac ROS

Feb 5

ROS 2.0 and Isaac ROS on NVIDIA Jetson Orin Nano Super — A Deep, Practical Guide

Feb 2

Running Piper TTS in ROS 2 on NVIDIA Jetson Orin Nano with Very Low Latency

Jan 30

Inverse Kinematic - An Introduction with Robotics & CPS Examples - Forward vs Inverse Kinematics

Jan 26

UART protocol - Theory + Hands-On on Nvidia Jetson Orin Nano Super

Jan 23

Enabling GPIO Output Pins on Nvidia Jetson Orin Nano Super

Jan 19

Why LLMs Should Not Control Motors and Robots (And How Robots Should Control Motors in a Cyber-Physical System)

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© 2026 Thomas THELLIEZ
Technical blog about Physical AI, robotics, cyber-physical systems, AI agents, SaaS architecture and product engineering.
LinkedIn: https://www.linkedin.com/in/thelliezthomas/
Website: https://thomasthelliez.com