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JetRacer Professional Version ROS AI Kit B - 4-wheel AI robot platform + Nvidia Jetson Nano Dev Kit - Waveshare 26801
JetRacer Professional Version ROS AI Kit is an advanced robot based on the Nvidia Jetson Nano platform, created for learning ROS systems and developing artificial intelligence. The kit offers the possibility of programming in OpenCV, SLAM (lidar mapping), autonomous navigation, speech recognition, obstacle detection and advanced AI functions. Equipped with motors with encoders, LiDAR RPLIDAR A1, IMU sensor, OLED display and 8 MPx camera . The platform is powered by 3 Li-Ion 18650 batteries .
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Product Description: JetRacer Professional Version ROS AI Kit B - 4-Wheel Robot Platform Al + Nvidia Jetson Nano Dev Kit - Waveshare 26801
JetRacer Professional Version ROS AI Kit is an advanced robot based on the Nvidia Jetson Nano Dev Kit platform, designed for learning autonomous control systems, developing AI algorithms and using ROS (Robot Operating System). The kit provides full compatibility with the Jetbot project and offers advanced capabilities in the field of SLAM mapping, autonomous navigation, object detection and voice interaction . Equipped with motors with encoders , it enables precise motion tracking , and the IMU sensor ensures accuracy in determining position. LiDAR RPLIDAR A1 and IMX219 camera with a resolution of 8 MPx enable scanning of the environment and recognition of objects . Additionally, integrated microphones and a speaker allow for the implementation of voice interactions . The kit is an ideal solution for experiments with robotics, AI and computer vision.
JetRacer Professional Version ROS AI Kit B - 4-Wheel Robot Platform Al + Nvidia Jetson Nano Dev Kit - Waveshare 26801.
Botland is an official distributor of Waveshare devices. Their versatility and compatibility, particularly in display and power technology, have won over customers all over the world. Our team guarantees that all Waveshare products presented here are original.
The kit comes with the Nvidia Jetson Nano Dev Kit.
Main features of the robot
- Dual control : two controllers - the main one based on Nvidia Jetson Nano, controlled by Raspberry Pi RP2040 , providing precise control and real-time processing
- SLAM and LiDAR : supports SLAM mapping and real-time navigation with RPLIDAR A1 lidar, enabling 360° scanning of the surroundings
- AI Programming : Supports deep learning, autonomous driving, object and face detection, and voice interaction
- IMU sensors : Integrated IMU sensor (MPU9250) to precisely measure robot movements and ensure stability
- ROS integration : full compatibility with ROS, facilitating the development and implementation of robot control algorithms
- Power supply and safety : power supply via 3 Li-ion 18650 batteries with overcharge and overvoltage protection, ensures safe and stable operation
Autonomous Navigation and SLAM
JetRacer ROS AI Kit enables the robot to move autonomously using SLAM mapping. Thanks to the RPLIDAR A1 lidar and IMU sensors , the robot creates 360° maps of its surroundings , and advanced SLAM algorithms allow accurate path planning and real-time obstacle avoidance . It can navigate in dynamically changing conditions, making it ideal for autonomous driving experiments.
AI and computer vision
The kit is equipped with an IMX219 camera with a resolution of 8 MPx , enabling object recognition, line tracking , and face and color detection . JetRacer also supports popular libraries such as OpenCV , which allow the implementation of computer vision algorithms for object recognition and tracking and motion detection. It also has the ability of deep learning , thanks to the use of neural networks and the use of the open source DonkeyCar package.
The robot uses a dual-core Raspberry Pi RP2040 microcontroller, which is responsible for collecting position data and controlling movement.
Supports single-point navigation, multi-point patrol navigation and mapping while navigation.
Voice Interaction and Speech Recognition
Integrated microphones and a speaker enable voice interaction with the robot. JetRacer supports speech recognition, speech synthesis and sound detection , which allows you to create a robot capable of conducting conversations and responding to voice commands. It is an excellent tool for learning and experimenting with AI and human-robot interaction.
ROS Programming
JetRacer ROS AI Kit is fully compatible with the ROS operating system , giving you access to a wide range of robot tools and libraries. This allows you to easily develop and modify your robot , create new algorithms, use existing mapping, navigation and AI packages, and integrate external devices.
Nvidia Jetson Nano Dev Kit
Nvidia Jetson Nano Dev Kit is a base board with an Nvidia Jetson Nano module, equipped with a quad-core ARM Cortex A57 processor with a frequency of 1.43 GHz and an Nvidia Maxwell graphics system with 128 CUDA cores. In the standard version, Jetson Nano has 4 GB of DDR4 RAM, while the Dev Kit version offers an additional 16 GB of eMMC memory . The board has a Gigabit Ethernet port, 4 USB 3.0 ports, HDMI, DisplayPort, GPIO, I2C, I2S, SPI, UART connectors, 2 camera connectors and a microSD card slot. The set also includes a 64 GB microSD card.
Built-in battery protection circuit prevents overcharging, over-discharging, overload, short circuit and reverse charging.
The robot is powered by three 18650 batteries, which must be purchased separately.
JetRacer Professional Version ROS AI Kit B Technical Specifications
- Controller: Nvidia Jetson Nano
- Microcontroller: Raspberry Pi RP2040
- IMU Sensor: MPU9250 (9-axis sensor)
- LiDAR: RPLIDAR A1
- Motor: DC with encoder and gear 1:30
- Idle speed: 333 rpm
- Motor Encoder: 11-wire AB phase speed sensor, supports wheel odometry
- Camera: IMX219 with 8 MPx resolution, 3280 x 2464 px
- Display: OLED 0.91'', 128 x 32 px
- Microphones: 2x integrated MEMS
- Speaker: Integrated USB
- Connectivity: AC8265 module (WiFi 2.4G/5G, Bluetooth 4.2)
- Power supply: 3x Li-ion 18650 battery, 12.6V (not included)
- Protection: Overcharge, overvoltage and overheat protection
- Communication: USB, I2C
- Dimensions: 192.2 x 242.9 x 147.58 mm
Kit Contents
- Jetson Nano Dev Kit x 1
- 64GB microSD card x 1
- MicroSD card reader x 1
- JetRacer ROS Chassis x 1
- Acrylic part x 1
- Camera holder x 1
- JetRacer ROS Expansion Card x 1
- RPLIDAR A1 sensor x 1
- Camera IMX219-160 x 1
- AC8265 Wireless Communication Chip x 1
- USB adapter x 1
- Motor with encoder x 2
- Engine cover x 1
- Servo mount x 1
- Servo MG996R x 1
- Tire 65mm x 4
- Cooling fan x 1
- EVA felt pad x 2
- Controller - gamepad x 1
- 6-pin cable with 2 mm pitch x 2
- Antenna x 2
- IPEX to SMA adapter x 2
- Charger 12.6V/2A x 1
- Tool and accessory pack x 1
- Checkerboard x 1
- Set of screws and mounting elements x 1
Items included in the set.
Useful links
- Manufacturer website: Waveshare 26801
- User Guide
- RP2040 Software
- Nvidia Jetson Nano Dev Kit User Manual
- GitHub Repository
- Nvidia Jetson Nano - A Guide to the World of AI
| Name | Value |
|---|---|
| Robot type | 4-wheel |
| Robot power supply | Rechargeable battery |
| Control platform | Nvidia |
| Robot form | Self-assembly |
| Width | 55 cm |
| Height | 20 cm |
| Depth | 20 cm |
| Weight | 1.8 kg |
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30 days to return, without giving a reason
If the product does not meet your expectations, you have 30 days from receiving the parcel to withdraw from the contract. The product only has to be complete. The right of return belongs to consumers (a purchase unrelated to business activity).
Complaints
If the product turns out to be faulty, you can make a claim under the guarantee or the statutory warranty. We handle claims without delay, at the latest within 14 working days of receiving the report together with the goods.
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Product information
This product is a component intended for further assembly or prototyping. It is not a finished product within the meaning of the product safety regulations.
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