Product Description: JetRacer ROS AI Kit A - Al+Nvidia 4 Wheel Racing Robot Platform Jetson Nano Developer Kit B01 - Waveshare 23756
JetRacer ROS AI Kit A is a professional version of the four-wheeled robotic platform manufactured by Waveshare . The components used in it allow for route planning , autonomous navigation or dynamic obstacle avoidance .
The robot works based on the Nvidia Jetson Nano Developer Kit module included in the set, and has been equipped with high-quality components such as a high power encoder motor (idle speed is 333 rpm), IMU MPU9250 sensor, Lidar RPLIDAR A1 laser with a range of 360 degrees or the RP2040 microcontroller, two microphones and a speaker supporting intelligent speech processing. The robot additionally supports mapping the environment and allows positioning inside buildings.
JetRacer ROS AI Kit A - Al + Nvidia 4 Wheel Racing Robot Platform Jetson Nano Developer Kit B01 - Waveshare 23756.
The set includes a minicomputer Nvidia Jetson Nano Developer Kit, which is required for the proper functioning of the robot, and a micro SD memory card with a capacity of 64 GB.
Advanced Human-Robot interaction is also useful in everyday life.
Special features
- The JetRacer Pro Al Kit autonomous racing vehicle is capable of driving itself in a defined area.
- It has the ability to learn deep (Deep Learning), thanks to the use of a neural network and the use of the Open Source DonkeyCar package.
- It collects data on the route it moves on using a camera connected to a minicomputer - each subsequent drive along this route causes the database to expand with more information and thus allows the robot to move around this environment on its own.
- It meets the needs of verification of scientific research algorithms in various fields, such as Lidar mapping, SLAM mapping, autonomous navigation, target detection, speech processing, and facial recognition.
- It supports Gmapping, Hector, Karto and Cartographer mapping algorithms
- Human-Robot speech interaction - supports speech synthesis, detection and recognition, and real-time speech transmission between the computer and the robot enables two-way remote communication
Nvidia Jetson Nano Developer Kit B01
The Nvidia Jetson Nano B01 Developer Kit is a version equipped with an ARM Cortex A57 Quad-Core CPU clocked at 1.43 GHz and an Nvidia Maxwell GPU with 128 CUDA cores . The minicomputer has 4 GB of DDR4 RAM , Gigabit Ethernet port, HDMI and Display ports, 4x USB 3.0 , GPIO, I2C, I2S, SPI, UART, 2x camera connectors and a microSD card slot.
Minicomputer Nvidia Jetson Nano B01 is a powerful tool designed for issues related to artificial intelligence . It allows you to run multiple neural networks in applications that perform operations in the field of image classification, object detection and segmentation, and voice command processing. The device can be used in many industries related to automation, robotics and artificial intelligence.
The sub-controller uses the Raspberry Pi RP2040 dual-core microcontroller, which has better real-time performance and greater control accuracy, and is responsible for position data collection and motion control. The robot version of Nvidia Jetson Nano Developer Kit B01 is a non-production specification Jetson Nano module, it is mainly intended for software development and testing.
Nvidia Jetson Nano Developer Kit B01.
Autonomous movement and deep learning technology.Based on ROS
It was developed based on ROS (Robot Operation System) - an open source operating system that includes a collection of software libraries and tools for designing robots. It provides services expected from an operating system, including hardware abstraction, lower-tier device control, implementation of common functions, inter-process messaging, and package management. ROS simplifies robot design and is the mainstream of robotic software in the world.
I2C Slave Mode Control
The JetRacer ROS AI Kit is an autonomous Al racing vehicle powered by the Nvidia Jetson Nano. Thanks to interactive programming via a web browser, it enables high frame rate processing, which allows you to easily achieve faster autonomous line driving.
Suggested use
- ARVision
- Face detection
- Object tracking
- Color recognition
- Motion detection
- Driving along a given line
- Contour detection
- Image calibration
A wide range of applications.
JetRacer ROS AI Kit A.
Elements on board the robot
- Basket for 3 2600 mAh 18650 batteries, output voltage up to 12.6 V
- Built-in S-8254AA + AO4407A battery protection circuit, with overcharge, over discharge and short circuit protection functions
- Built-in INA219 chip for real-time monitoring of battery voltage and charging current
- Built-in 0.91 inch 128 x 32 px OLED display, real-time display of the car's IP address, memory, battery level, etc.
- The MPU9250 IMU's built-in position sensor can accurately determine the driving direction and position
- Raspberry Pi RP2040 dual-core microcontroller, with better real-time performance and higher control accuracy
- Support IIC slave mode control
Technical Specifications
- Kit: JetRacer Professional Version ROS AI Kit A
- Microcontroller: Raspberry Pi RP2040 chip
- Motor: DC with encoder and 1:30 gear
- Idling speed: 333 rpm
- Motor encoder: 11-wire AB phase speed sensor, supports wheel odometry
- IMU sensor: MPU9250, 9-axis, using extended Kalman filter
- Lidar laser sensor: RPLIDAR A1, 360-degree scanning at a distance of up to 12 m
- Audio interface: one speaker, two microphones, support intelligent speech
- Camera: IMX219-160, 8 MPx, 160 FOV and resolution 3280 x 2646 px
- Folded dimensions: 192.2 x 242.9 x 127.6 mm
The kit also includes two powerful DC motors.
Items must be assembled by yourself.
Kit contents
- Nvidia Jetson Nano Developer Kit B01 x 1
- 64GB TF card x 1
- TF card reader x 1
- JetRacer ROS x 1 chassis
- acrylic part x 1
- Camera Holder x 1
- JetRacer ROS expansion card x 1
- RPLIDAR A1 x 1 sensor
- IMX219-160 x 1 camera
- AC8265 x 1 wireless communication chip
- USB adapter x 1
- Encoder motor x 2
- Engine Cover x 1
- Servo mount x 1
- MG996R servo x 1
- 65mm x 4 tire
- Cooling fan x 1
- EVA felt pad x 2
- Controller - game pad x 1
- PH2.0 6pin x 2 cable
- Antenna x 2
- IPEX to SMA x 2 adapter
- 12.6V/2A charger x 1
- Tool and accessory pack x 1
- Chessboard x 1
- Set of screws and mounting hardware x 1
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