Blog Home Website LinkedIn

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

How to Evaluate a Local LLM for Robotics Tool Use

What Latency Budget Really Means in a Voice-Controlled Robot

Designing Degraded Modes for AI-Enabled Robots

How to Structure ROS 2 Logs and Rosbags for AI-Assisted Robot Debugging

How to Split Authority Between an LLM, ROS 2, and a Microcontroller

OpenClaw on Jetson: Memory, Dashboard, MCP, and Secure Local AI Agents

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

Create Your First OpenClaw Skill to Control a Robot or Sensor

How Quadruped and Humanoid Robots Stay Balanced

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

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 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