AI

Please learn some basic Python and Ubuntu Linux. Please go through the videos to learn how to use Raspberry Pi Pico W or an ESP32 with the different components and how to build a mecanum wheels car before going through these videos.

We are in the process of integrating Nvidia Jetson Orin Nano running ROS2 with Raspberry Pi Pico W and ESP32 running MicroROS to create toy self driving cars to help pupils learn AI and coding on.

We are also working on a Large Language Model that specialises in hardware and software development that could be used to assist pupils while they learn to code.

There are also many free courses on Computer Science, Programming, AI and Machine Learning online that you could go through.

You could also go through huggingface and look at the source code for LeRobot

https://huggingface.co/lerobot

https://github.com/huggingface/lerobot

Huggingface has a lot of open source large language models that you could also try out via LM Studio. Just download LM Studio and try out the different open source LLMs and use  their APIs locally too. You could also install n8n in a docker container or set up a local homelab using Rancher to manage the docker containers and the Kubernete clusters.    

We are also be looking at showing pupils how to fine tune Audio-Vision Language Model for robots to use in the future. To fine tune Machine Learning models you need to build the right infrastructure from the start, so the sooner pupils Learn Linux, Docker, Kubernete clusting, RAG and possibly kafka the better.  

We are also looking at TensorRT 

https://docs.nvidia.com/nemo-framework/user-guide/24.09/deployment/llm/optimized/tensorrt_llm.html

We are also looking at simulation tools for robots to learn on, like Gazebo and Nvidia Isaac Gym.

The Nvidia Jetson Orin Nano is powerful enough to run TensorRT and local Large Language Models to control robots.
There are many examples of robots that use local large language models running on a Nvidia Jetson Orin Nano that could control the car. You could look at how these were built.
You could also install LM Studio and try out different local large language models on your PC like DeepSeek running locally. For robot simulation with ROS2 you could use Gazebo or Nvidia Isaac SIM.
We have been testing HiWonder TurboPi Cars. The hardware is good but they need to improve the instructions to make it easier for people to follow.
There are lots of different designs out there that you could use.
A lot of the designs like this one use cheaper plastic gear motors, but children try to turn the wheel manually and break them. So you could improve the design of your robots by using metal gear motors and Nvidia Jetson Orin Nano for more Processing power.
This video shows how to use AI in your organisation and customise Large Language Models with specific information and expose them via Open WEB UI (for internal use only, as it is not secure to expose this to the internet). It shows how to Integrate it with other data source via an MCP Servers.
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