WSAL23523 – JetRacer ROS AI Kit/en

Documentation notice: This technical documentation was independently rewritten from an archived supplier source. Check technical details and commands against the product version and manufacturer documentation before use.

Summary

The JetRacer ROS AI Kit is an AI robot car for developing ROS-based autonomous systems. It pairs a Raspberry Pi RP2040 as sub-controller with an NVIDIA Jetson Nano Dev Kit as the main computer and supports SLAM, OpenCV image processing, and voice interaction.

Related products at JW Tech

• WSAL23523 – JetRacer Professional Version ROS AI Kit B, Dual Controllers AI Robot, Lidar Mapping, Vision Processing, comes with Waveshare Jetson Nano Dev Kit
• WSAL23524 – JetRacer Professional Version ROS AI Kit Accessories, Dual Controllers AI Robot, Lidar Mapping, Vision Processing
• WSAL26801 – JetRacer Professional Version ROS AI Kit B, Dual Controllers AI Robot, Lidar Mapping, Vision Processing, comes with Waveshare Jetson Nano Dev Kit
• WSAL26802 – JetRacer Professional Version ROS AI Kit B, Dual Controllers AI Robot, Lidar Mapping, Vision Processing, comes with Waveshare Jetson Nano Dev Kit
• WSAL26803 – JetRacer Professional Version ROS AI Kit Accessories, Dual Controllers AI Robot, Lidar Mapping, Vision Processing
• WSAL26804 – JetRacer Professional Version ROS AI Kit Accessories, Dual Controllers AI Robot, Lidar Mapping, Vision Processing

Technical overview

• Dual controllers: The sub-controller uses a Raspberry Pi RP2040 microcontroller; the main controller is the Waveshare Jetson Nano Dev Kit.
• Power supplied by three 18650 batteries (not included), providing up to 12.6 V output.
• Onboard S-8254AA + AO4407A lithium battery protection circuit provides overcharge, over-discharge, overcurrent, and short-circuit protection.
• The INA219 chip monitors battery voltage and charging current in real time.
• A 0.91-inch OLED (128×32) displays the vehicle IP address, memory usage, and battery level.
• An MPU9250 IMU sensor determines the direction of travel.
• Encoded DC gear motors support PID control and provide wheel odometer data.
• I2C slave mode allows connection to the Jetson Nano via USB and I2C; serial devices /dev/ttyACM0 and /dev/ttyACM1 and the I2C device at address 0x60 are recognized.
• Compatible with the open-source NVIDIA Jetbot project; supports AI deep learning, SLAM mapping, navigation, OpenCV image processing, and intelligent voice interaction.

Commands and examples – verify before use: 

cd /usr/lib/nvidia/resizefs/
sudo chmod 777 nvresizefs.sh
sudo ./nvresizefs.sh
sudo reboot

Source and revision record

• JetRacer ROS AI Kit - Waveshare Wiki
• Source revision: 109257
• Captured: 2026-09-04T03:07:51+00:00
• SHA-256: eb5bae8444644f4e79d2a7cc575df45878e5844c880866393eabda13b6e5f0ae