Hello everyone,
I would like to share my implementation of JetBot using the Jetson Orin Nano.
As noted in the official JetBot page, the Jetson Nano has been discontinued, and the Orin Nano is recommended for new setups. However, software support for the Orin version is still evolving.
To help address this, I developed a GitHub repository that provides a complete setup for running JetBot on Jetson Orin Nano using a Docker-based workflow.
The repository includes:
• Hardware assembly guide adapted for Orin Nano
• Docker-based environment for running JetBot notebooks (PyTorch, TensorFlow, JupyterLab)
• OLED display service (IP address and system status via SparkFun OLED)
• Example notebooks for multiple tasks:
- Basic motion
- Collision avoidance (data collection, training, and deployment)
- Object following using YOLO
- Road Following
🔗 GitHub Repository:
📦 Platform:
Jetson Orin Nano (JetPack 6.x)
Docker image based on L4T 36.4.0
🎬 Video Demonstrations:
JetBot Basics:
Collision Avoidance:
Object Following (YOLO):
⚠ Notes:
• This setup has been tested on JetPack 6.x (6.0 / 6.1 / 6.2)
• The Docker image is based on L4T 36.4.0
• Some configuration steps (e.g., CSI camera setup) may still require manual adjustment depending on the system
This project was developed as part of AI Lab activities at UAE University, and I hope it can help others working with JetBot on newer Jetson platforms.
Feedback and suggestions are very welcome.
Best regards,
Mutaz Khairalla