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

Apr 24

Building a Local Robot Brain on Jetson Orin Nano Super with ROS 2, Whisper, Llama, Piper TTS and an LLM Bridge

Apr 21

micro-ROS - connecting a real-time microcontroller to a ROS 2 brain on Jetson

Apr 17

Create Your First OpenClaw Skill to Control a Robot or Sensor

Apr 12

How Quadruped and Humanoid Robots Stay Balanced

Apr 10

Muse Spark Explained - Architecture, Benchmarks, Limits, and Real-World Use Cases

Apr 6

Robot Safety Architecture - Watchdogs, E-Stops, Failsafes, and Supervisory Control

Apr 3

Gemma 4 Explained - Architecture, Benchmarks, Limits, and Real-World Use Cases

Mar 30

Real-Time Linux for Robotics - Latency, Jitter, Scheduling, and What Actually Breaks

Mar 27

What Is Sensor Fusion in Robotics? How Robots Combine IMUs, Cameras, Encoders, and GPS

Mar 23

How to Install NemoClaw on NVIDIA Jetson Orin Nano Super

12 3 4 Next >

Follow the field notes

Robotics safety, Physical AI, local AI on edge devices, software architecture, AI agents, product engineering and SEO-led SaaS growth.

Website Start here LinkedIn Blog home

© 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