UGV Beast Jetson Orin ROS2
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Introduction
The UGV Beast Jetson Orin ROS2 Kit is an open-source mobile robot based on ROS2 with a 6-wheel 4WD architecture. It adopts a dual-controller structure. ESP32 slave device controls the motor PID, IMU sensors, OLED screen, servo, LED ON/OFF, and so on, which greatly reduces the IO resources for the host computer and provides high-performance communication interfaces. Also, the host device uses Jetson Orin Nano, offering high computational power and advanced features such as specified strategies.
The robot body structure adopts an all-aluminum alloy shell with a thickness of 2mm, which has high structural strength and good durability. It adopts soft anti-skid rubber tires with 4 geared motors with encoder for closed-loop speed control to prevent vibrations and achieve excellent sporty performance up to a maximum speed of 1.3m/s. The built-in 3S lithium battery UPS power supply module provides strong and long-lasting power, supporting continuous use while charging, meeting the needs of long-term development and use.
The Jetson Orin Nano is equipped with a USB camera, which allows users to enjoy a smooth visual experience through the live camera with high frame rate and low latency, and can capture different wonderful moments through functions such as taking photos and videos. In addition, various information feedback from the robot, including battery voltage, CPU usage, etc., are displayed in real time through the WEB application, allowing users to monitor the status of the robot in real time.
The robot's vision system is equipped with a 2-degree-of-freedom high-torque flexible pan-tilt and a 160° ultra-wide-angle 5-million-pixel camera, providing users with a wide viewing angle, flexible observation angles, and a variety of AI machine vision functions. The high-brightness LED spotlight next to the pan-tilt ensures clear use even in low-light environments. In addition, through the design of the Picatinny rails, users can easily expand more tactical accessories, further enhancing the functionality of the robot.
Based on the ROS2 robot operating system, it is equipped with lidar and depth camera, which can build 2D maps and 3D modeling in real time to assist robots in path planning and auto navigation. Using large-scale language model technology, users can control robots through natural language, improving the human-computer interaction experience. Through the WEB application console, users can directly control the robot and easily perform task management and real-time debugging. At the same time, the Gazebo simulation environment provides developers with a virtual testing platform to ensure system stability before actual deployment.
To enable users to fully exploit the potential of this robot, we provide extensive documentation and tutorials, including JupyterLab's WEB application and ROS2 functional documentation. Whether you are a beginner or experienced developer in robotics, these resources can help you learn, understand, and create in depth, step by step.
Features
- High-performance Dual Controller: The main control of the slave device is ESP32, which is responsible for precise motor PID control and multiple sensor readings. The host device Jetson Orin Nano provides high-end computing power. The two-layer architecture makes the robot run more efficiently.
- Open-source Code: The host device is developed based on Ubuntu 22.04, the ROS2 function is developed based on the Humble version, the WEB application is based on Flask and Python languages, and the software platform is all open source, which is convenient for users to learn and redevelop.
- Rich Tutorials: Provide a wealth of JupyterLab interactive tutorials, graphic tutorials, video tutorials and ROS2 function tutorials, from introductory functions to advanced functions, users can learn how to control the robot while watching the tutorials, reducing the learning curve for beginners in robot technology.
- Wide Viewing Angle: Equipped with a 2-degree-of-freedom high-torque flexible pan-tilt, providing a wide 360° viewing angle horizontally; equipped with a 160° ultra-wide-angle 5-million-pixel camera to capture a wider range of images .
- Robot Vision: Integrate robot vision functions such as color, object, gesture recognition, face, and motion detection, and can be expanded to more applications.
- Abundant Interaction: Real-time video streaming, digital zoom, photography, video recording and other functions, and WEB application real-time video function and robot information displayed on the screen to improve user interaction experience.
- Cross-platform Support: Support cross-platform remote control without installing APP. You can follow tutorials to implement remote control beyond the local network using solutions such as Pgyer, Cpolar, LocalTunnel, and others.
- Expandability: The structure is equipped with an expansion plate and Picatinny rails to facilitate the expansion of other tactical accessories; in terms of hardware, there are spare LED light interfaces that can be used to expand other peripherals such as water guns. The product can also be expanded with 4G and 5G modules to facilitate users to realize more possibilities.
- Durable Structure: 2mm thick all-aluminum alloy shell provides excellent structural strength and durability.
- High-Performance Drive Motors: Equipped with four geared motors with encoder to achieve closed-loop speed control, the maximum speed can reach 1.3m/s, providing strong power.
- All-Drive and High-Quality Tires: Four-wheel drive system with soft anti-skid rubber tires to ensure that the robot has good grip and stability on various terrains.
- Long Battery Life: Using 3S lithium battery UPS power supply system, it supports continuous use while charging, ensuring long-lasting endurance.
Product Assembly
[Continuous improvement...]
Product Basic Usage
Precautions
Please read the following before use:
- This product does not have lithium batteries installed at the factory. Customers need to install three 18650 lithium batteries before they can be used normally. Customers who purchase the ACCE model need to bring their own Jetson Orin Nano Motherboard, and the Jetson Orin Nano must be installed before normal use. Customers outside China need to purchase three 18650 lithium batteries by themselves, 18650 lithium batteries with a capacity of 2200mA or above and a discharge rate of 4C are recommended. Please refer to Product Assembly for these two installation tutorials.
- When connecting the battery for the first time, pay attention to whether the LED light is on on the battery module. If the LED light is on, it means that the positive and negative electrodes of the battery are connected inversely. If the battery is not connected inversely, the LED light will not be on. Do not charge the battery when it is reversed, otherwise it may cause an explosion.
- This product can not suffer severe impact and is not waterproof.
First Time Use
The Jetson Orin Nano shipped with the product is a hard disk with already configured software and ROS2 functions. It can be used when turning it on.
Make sure you have 3 lithium batteries installed, you need to use the configured 12V 5A power cable to connect to the power interface of the product for the first time. After turning on the power switch, the product will initialize, and the OLED screen will display a series of initialization information. The Jetson Orin Nano will automatically create a hotspot, and the IP address will be displayed on the OLED screen after the main program of the project runs automatically. After the startup is completed, the OLED screen displays the following meanings:
- The first line E: The IP address of the network port, which can be used to remotely connect to the Jetson Orin Nano; No Ethernet indicates that the Jetson Orin Nano is not connected with a network cable at this time.
- The second line W: After establishing a hotspot in AP mode, the default IP will be displayed as 192.168.50.5; in STA mode, connect to the IP address assigned by a known WIFI; the displayed IP address can be used to connect to the Jetson Orin Nano wirelessly.
- The third line F/J: Network port number. 5000 is used to access the product main program control page, and 8888 is used to access the JupyterLab page.
- The fourth line AP indicates that the WIFI is in AP mode at this time, and the time indicates the usage time of the device; the value in dBm indicates the signal strength RSSI of the WIFI in STA mode.
When Jetson Orin Nano is turned on,
- If the product is not connected to a known WIFI, it will automatically establish a hotspot, use your mobile phone/computer to connect to the hotspot. The name of the hotspot is AccessPopup and the password is 1234567890.Open the browser after connecting , enter the default IP address of the device in AP mode (the address will be displayed on the W line on the OLED screen), that is, enter 192.168.50.5:5000 in the URL bar to access the WEB control interface of the product's main program.
- If the product is connected to a known WIFI, you can access the WEB control interface of the product's main program by accessing the Jetson Orin's IP address: 5000. For example: 192.168.10.156:5000.
Note: The accessed device must be in the same LAN as the Jetson Orin device to access successfully.
Network Configuration
When configuring WIFI for the first time, you need to prepare a network cable or USB cable, and you also need to prepare a computer when using a USB cable.
What to do before opening the terminal:
- Network cable: After the product is turned on, connect the network cable, the IP of the network cable will be automatically displayed on the OLED screen, the IP behind E is the wired IP, E stands for eth0, enter this IP address in the browser: 8888, open jupyterLab, and then open Terminal
- USB cable: Jetson's Micro USB port has a default IP address of 192.168.55.1, users without a screen can operate Jetson Orin Nano remotely via ssh:
- After powering on the product, connect the Micro USB port of the Jetson Nano to the computer with a USB cable
- Log in to Jetson Nano remotely using a Putty or MobaXteram software ssh 192.168.55.1 IP address
- The default username and password for the Jetson Orin Nano system is jetson
After logging in to the terminal, to configure the WIFI to connect to a known hotspot for the first time, you need to close the AccessPopup cyclic scanning task that is running in the background, and browse to the folder of AccessPopup first:
cd ugv_jetson/AccessPopup/
Run the AccessPopup configuration script:
sudo chmod +x installconfig.sh sudo ./installconfig.sh
Enter 7, press Enter, uninstall AccessPopup, (when it is connected to a known WIFI, you can follow the similar steps if you need Jetson to automatically establish a hotspot, but select 1 to install AccessPopup, and then it can automatically establish a hotspot when it is turned on).
Wait for the uninstallation to complete, press any key to exit, and then enter 9, press Enter, and exit AccessPopup.
Make sure WiFi is turned on:
sudo nmcli r wifi on
List the surrounding known WIFI networks:
sudo nmcli d wifi list
Connect to a known WIFI:
sudo nmcli d wifi connect <my_wifi_ssid> password <my_wifi_password>
You need to replace the above <my_wifi_ssid> and <my_wifi_password> with your own hotspot name and password according to your situation, for example: sudo nmcli d wifi connect wifi_name password 1234567890
Product Tutorial Catalog
How to use host device
- 01 JupyterLab Basics and Robot Introduction
- 02 Python Chassis Motion Control
- 03 Pan-Tilt Control and LED Light Control
- 04 OLED Screen Control
- 05 Build UI interface in JupyterLab
- 06 Get Chassis Feedback
- 07 Use JSON Commands to Control Slave Device
- 08 Slave Device JSON Instruction Set
- 09 Automatically Send Instructions When Powered On
- 10 Play Audio Files
- 11 Text to Speech (TTS)
- 12 Implement Low Latency Video Transmission with Flask
- 13 Display Real-Time Screen in Jupyter Lab
- 14 Time-Lapse Photography
- 15 OpenCV Motion Detection
- 16 Take Photos by Pressing Buttons
- 17 OpenCV Face Recognition
- 18 Object Recognition Based on DNN (Deep Neural Network)
- 19 Color Recognition Based on OpenCV
- 20 Color Tracking Based on OpenCV
- 21 Auto Driving of Patrol Lines Based on OpenCV
- 22 Gesture Recognition Based on MediaPipe
- 23 Face Recognition Based on MediaPipe
- 24 Pose Detection Based on MediaPipe
- 25 Simple Web Application
- 26 Introduction to Main Program Architecture
- 27 YAML Configuration File Settings
- 28 Automatically Run Scripts at Startup
- 29 Custom Command Line Functionality
- 30 Web Command Line Applications
How to Use Product ROS2
- UGV Beast Jetson Orin ROS2 1. Preparation
- UGV Beast Jetson Orin ROS2 2. RViz View Product Model
- UGV Beast Jetson Orin ROS2 3. Use Joystick or Keyboard Control
- UGV Beast Jetson Orin ROS2 4. 2D Mapping Based on LiDAR
- UGV Beast Jetson Orin ROS2 5. 3D Mapping Based on Depth Camera
- UGV Beast Jetson Orin ROS2 6. Auto Navigation
- UGV Beast Jetson Orin ROS2 7. Navigation and SLAM Mapping
- UGV Beast Jetson Orin ROS2 8. Web Natural Language Interaction
- UGV Beast Jetson Orin ROS2 9. Web-based Control Tool
- UGV Beast Jetson Orin ROS2 10. Command Interaction
- UGV Beast Jetson Orin ROS2 11. Gazebo Simulation Debugging
Resources
Dimensional Diagrams
STEP model
ROS2 open source project
- Project address: UGV Beast ROS2 function package
Product open source program
Support
Technical Support
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