Seervo, an LLM Powered Robot

I just released Seervo, an open-source LLM-powered robot. The GitHub repo contains source code, a shopping list and 3D files to print the chassis.

Seervo sends an image from its camera to GPT 5.4. The LLM can decide to change the colors of four LEDs and to drive the motors. It has the objective of finding and entertaining humans while avoiding pets at all costs. The video below shows it mostly trying to escape from my dog:

The robot is based on an ESP32 microcontroller with a camera, some motors and a battery. The client code is MicroPython and it talks to an ASP.NET core web service that handles the LLM control calls. You could do everything on the ESP32 but it's easier to tweak prompts and see where it's going wrong with a local server. The server additionally stores memories so the robot can remember what it has been doing recently, and handles memory compaction so any really useful knowledge is retained in the context window.

The code was all written using Claude Opus 4.6. The chassis was designed in OpenSCAD using ChatGPT - something that has been a struggle before but GPT 5.4 can iterate on a 3D model with pretty vague directions.

Let me know if you build one!

Updated 2026-04-05 23:22:

Added an HC-SR04 ultrasonic distance sensor so the robot can now tell how much clear space there is in front of it. Tuned the instructions to use this data and also with formulae to convert distance and rotation to approximate motor run time. This all makes the robot a lot more confident in its movement.