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ROSMASTER X3📖
1.About ROSMASTER X3
  • 1.1 Wiring Introduction
  • 1.2 Precautions for battery
  • 1.3 First Trial
2.Assembly steps
  • Installation Video(1-10)
  • Installation Video(11-18)
  • Installation Video(20-28)
  • Installation Video(29-30)
3.ROS1-Remote control course
  • 3.1 APP remote control
  • 3.2 Model aircraft remote control
  • 3.3 Handle remote control
4.ROS1-Hardware course
  • 4.1 About expansion board_V3.0
  • 4.1 About expansion board_V1.0
  • 4.2 STM32 Development environment
  • 4.3 Button to control the buzzer to whistle
  • 4.4 FreeRTOS application
  • 4.5 Serial communication
  • 4.6 SBUS model aircraft remote control
  • 4.7 CAN bus communication
  • 4.8 RGB colorful light bar
  • 4.9 Timer interrupt to control PWM servo
  • 4.10 Control serial port servos
  • 4.11 Nine-axis attitude sensor to obtain data
  • 4.12 Control motor
  • 4.13 Timer captures the encoder data
  • 4.14.1 Kinematic Analysis of Mecanum Wheel
  • 4.14.2 Kinematics Analysis of Ackermann Car
  • 4.15 PID control robot movement
5.ROS1-Basic course
  • 5.1 Update the firmware
  • 5.2 Turn off the self-starting process at startup
  • 5.3 Install the Rosmaster driver library
  • 5.4 Buzzer whistle
  • 5.5 Control PWM servo
  • 5.6 RGB colorful light bar special effects display
  • 5.7 Control motor
  • 5.8 Control robot movement
  • 5.9 Control Serial Servo
6.ROS1-Linux operating system
  • 6.1 Virtual machine installation and use
  • 6.2 Linux basics
  • 6.3 Remote control
  • 6.4 Multi-machine communication configuration
  • 6.5 Static IP and hotspot mode
  • 6.6 Bind the device ID
  • 6.7 Web page real-time monitoring
  • 6.8 Expansion tutorial
  • 6.9.1 Jetson Nano write sytem
  • 6.9.2 Jetson Xavier NX write system
  • 6.9.3 Jetson TX2 NX write system
  • 6.9.4 Raspberry Pi write system
7.ROS1-Docker-pi5
  • 1、Docker overview and docker installation
  • 2、Common commands for docker image containers
  • 3、Docker images deeply understand and publish images
  • 4、Docker hardware interaction and data processing
  • 5、Enter the bot's docker container
  • 6、Robot development environment construction in Docker
  • 7、How customers can update docker images in the future
8.ROS1-ROS basic course
  • 1.ROS introduction
  • 2.ROS installation
  • 3.ROS common command tools
  • 4.ROS workspace
  • 5.ROS function package
  • 6.ROS node
  • 7.ROS topic publisher
  • 8.ROS topic subscribers
  • 9.ROS service client
  • 10.ROS service server
  • 11.ROS action client
  • 12.ROS action server
  • 13.ROS custom message reception
  • 14.ROS-launch file
  • 15.ROS-TF transformation
  • 16.ROS parameter service
  • 17.ROS-rviz use
  • 18.ROS-rqt tool usage
  • 19.Topic message recording and playback
  • 20.urdf model introduction
  • 21.gazebo introduction
  • 22.ROS distributed communication
9.ROS1-OpenCV courses
  • 9.1 Getting started with Open Source CV
  • 9.2 Geometric transformation
  • 9.3 Image processing and drawing text line segments
  • 9.4 Image beautification
  • 9.5 Opencv application
  • 9.6 AR vision
  • 9.7 AR QR code
  • 9.8 ROS+Opencv foundation
  • 9.9 ROS+Opencv application
  • 9.10 Data transformation and point cloud
  • 9.11 MediaPipe development
10.ROS1-Robot control course
  • 10.1 PID algorithm theory
  • 10.2 Robot PID debugging
  • 10.3 Robot information release
  • 10.4 Robot keyboard control
  • 10.5 Robot handle control
  • 10.6 Robot state estimation
  • 10.7 Robot calibration
  • 10.8 Robot URDF model
11.ROS1-Depth camera course
  • 11.1 How to use the Astra camera
  • 11.2 Astra camera calibration
  • 11.3 Astra Color Tracking
  • 11.4 Astra Object Tracking
  • 11.5 Visual tracking autopilot
  • 11.6 Pure visual 2D mapping and navigation
  • 11.7 RTAB-Map 3D mapping navigation
  • 11.8 ORB_SLAM2 basics
  • 11.9 ORB_SLAM2_Octomap
12.ROS1-Lidar course
  • 12.1 Lidar basic-SLAM
  • 12.1 Lidar basic-4ROS
  • 12.2 Lidar avoiding
  • 12.3 Lidar guard
  • 12.4 Lidar follow
  • 12.5 Patrol game
  • 12.6 gmapping mapping algorithm
  • 12.7 hector mapping algorithm
  • 12.8 karto mapping algorithm
  • 12.9 cartographer mapping algorithm
  • 12.10 rrt_exploration mapping algorithm
  • 12.11 AMCL
  • 12.12 Navigation and avoiding
  • 12.13 APP mapping and navigation
13.ROS1-Multi-robot control course
  • 13.1 Multi-machine handle control
  • 13.2 Multi-machine navigation
  • 13.3 Multi-machine formation
  • 13.4 Multi-machine surround
14.ROS1-Deep learning courses
  • 14.1 KNN recognizes handwritten digits
  • 14.2 Basic use of TensorFlow
  • 14.3 Basic use of PyTorch(jetson)
  • 14.4 yolov5 model training(jetson)
  • 14.5 yolov5+tensorrt acceleration(jetson)
  • 14.6 yolov4-tiny
15.ROS1-Voice control courses
  • 15.0 How to use old voice module in new image
  • 15.1 Introduction of voice control module-NEW
  • 15.2 Voice control module port binding-NEW
  • 15.1 Introduction of voice control module-Old
  • 15.2 Voice control module port binding-Old
  • 15.3 Voice control car movement
  • 15.4 Voice control Autopilot
  • 14.5 Voice control color recognition
  • 15.6 Voice control color tracking
  • 15.7 Voice control multi-point navigation
16.ROS1-Model training Autopilot
  • 16.0 ReadMe
  • 16.1 yolov5 to train traffic signs
  • 16.2 TensorRt acceleration identification mark
  • 16.3 Road sign indication function description
  • 16.4 Collect data
  • 16.5 Training model
  • 16.6 Model transformation and application
  • 16.7 AI Autopilot
17.ROS2- Remote control course
  • 1. APP control
  • 2. Model aircraft control
  • 3. Wireless Handle Control Tutorial
18.ROS2- Hardware course
  • 1. About expansion board_V1.0
  • 1. About expansion board_V3.0
  • 2. STM32 Development environment
  • 3. Button control
  • 4. FreeRTOS application
  • 5. Serial communication
  • 6. SBUS model aircraft remote control
  • 7. CAN bus communication
  • 8. RGB colorful light bar
  • 9. Timer interrupt to control PWM servo
  • 10. Control serial port servos
  • 11. Nine-axis attitude sensor to obtain data
  • 12. Control motor
  • 13. Timer captures the encoder data
  • 14. Robot kinematics analysis theory
  • 15. PID control robot movement
19.ROS2- ROSMASTER basic course
  • 1. Update the firmware
  • 2. Turn off the self-starting process at startup
  • 3. Install the Rosmaster driver library
  • 4. Buzzer whistle
  • 5. Control PWM servo
  • 6. RGB colorful light bar special effects display
  • 7. Control motor
  • 8. Control robot movement
  • 9. Control Serial Servo
20.ROS2- Linux operating systemnew
  • 1. Virtual machine installation and use
  • 2. Linux basics
  • 3. Remote control
  • 4. Multi-machine communication configuration
  • 5. Static IP and hotspot mode
  • 6. Bind the device ID
  • 7. Web page real-time monitoring
  • 8. Expansion tutorial
  • 9.1 Jetson Nano write sytem
  • 9.2 Raspberry Pi write system
  • 9.3 Orin series write system
  • 10.Jetpack old system upgraded to SUPER systemnew
21.ROS2- Docker(Nano Pi)
  • 1. Docker Overview and Docker Installation
  • 2.Common commands for docker image containers
  • 3.Docker images deeply understand and publish images
  • 4. Docker hardware interaction and data processing
  • 5. Entering the Docker Container of the Robot
  • 6. Building a Robot Development Environment in Docker
  • 7. Method for customers to update Docker images in the future
22.ROS2- ROS2 Basic Tutorial
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 Rqt Toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
23.ROS2- Robot control course
  • 1. PID Algorithm Theory
  • 2. Robot information release
  • 3. Robot control
  • 4. Robot state estimation
  • 5. Robot calibration
  • 6. URDF model
24.ROS2- Depth camera course
  • 1.Depth camera usage
  • 2. Camera internal reference calibration
  • 3. color tracking
  • 4. KCF object tracking
  • 5. ORB_SLAM2 basics
  • 6. ORB_ SLAM2 PCL mapping
  • 7. ORB_ SLAM2 Octomap mapping
  • 8. RTAB-Map 3D mapping navigation
25.ROS2- Lidar course
  • 1. Introduction and Use of Lidar
  • 2. Lidar avoiding
  • 3. Lidar follow
  • 4. Lidar guard
  • 5. Patrol game
  • 6. Gmapping mapping algorithm
  • 7. Cartographer mapping algorithm
  • 8. Navigation and obstacle avoidance
  • 9. Rosmaster_ X3 conducts mapping through the APP
  • 10. Rosmaster_ X3 Navigation through APP
26.ROS2- OpenCV courses
  • 1. OpenCV Basic Course
  • 2. ROS+opencv application
  • 3. QR code creation and recognition
  • 4. AR Vision
  • 5. Mediapipe fun gameplay
  • 6、line patrol automatic driving
27.ROS2- Voice control courses
  • 0.How to use old voice module in new image
  • 1. Introduction of voice module-new
  • 2. Voice control module port binding-new
  • 1. Introduction of voice module and port binding-old
  • 3. Voice control car movement
  • 4. Voice control Autopilot
  • 5. Voice control color recognition
  • 6. Voice control color tracking
  • 7. Voice control multi-point navigation
28.Deep learning courses(SUPER)
  • 1.KNN recognizes handwritten digitsnew
  • 2.Basic use of TensorFlownew
  • 3.Basic use of PyTorch(jetson)new
  • 4.YOLOv11Model conversion(SUPER)new
  • 5.YOLOv11Dataset annotation(SUPER)new
  • 6.YOLOv11Model conversion + tensorrt acceleration(SUPER)new
  • 7.YOLOv11Object recognition(SUPER)new
29.ROS2-Multi-robot control
  • 1. Multi-robot control
  • 2. Multi-robot navigation
LLM tutorial
1.Development environment
  • 0. Model usage instructions
  • 1.Environments deployment
  • 2.Dialogue platform installation
2.Jetson Nano B01
  • 1.Qwen2 model
  • 2.TinyLlama model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.Orca Mini model
  • 6.StarCoder2 model
  • 7.DeepSeek-R1 model
  • 8.Expand LLaVA-Phi3
3.Jetson Orin NXNANO
  • 1.Llama3 model
  • 2.Qwen2 model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.WizardLM2 model
  • 6.Codellama model
  • 7.DeepSeek-R1 model
  • 8.Orca Mini model
  • 9.StarCoder2 model
  • 10.TinyLlama model
  • 11.Expand LLaVA
  • 12.Expand LLaVA-Phi3
4.Raspberry Pi 5B
  • 1.Meta AI Llama3 model
  • 2.Qwen2 model
  • 3.Phi-3 model
  • 4.Gemma model
  • 5.WizardLM2 model
  • 6.Meta AI Codellama model
  • 7.DeepSeek-R1 model
  • 8.Expand LLaVA
FAQ
  • 1.Using your own Jetson board, ROSMASTER X3 cannot start normally
Download
  • RemoteCtrl_APP(Android/iOS)
  • Mapping_APP(iOS_Android)
  • Instruction Manual
  • SystemFile_ROS2
  • SystemFile_ROS1
  • SystemFile_ROS2_OrinNANOSUPER
  • SystemFile_ROS2_OrinNXSUPER
  • Code
  • Jetson_Boot_USB.tar.gz
  • VM software
  • Autopilot Annex
  • Other_Annex_File
  • LLM_SystemFile
  • ROS2_Basic_VM
Download ZIP
FAQ
  • 1、How to connect OLED?

Welcome to ROSMASTER X3 repository

5. Entering the Docker Container of the Robot

 

5、Enter the bot's docker container

 

5、Enter the bot's docker container5.1、related concepts5.2、How to query the docker image version used by the robot5.3、Binding peripherals5.4、Check peripheral connections5.5、Edit scripts5.6、Execute scripts5.7、Switch models, radar, and camera5.8、multiple terminals enter the same docker container5.8、How to open a container that is already in the [Exited] closed state5.8.1、Camera required 5.8.2、No need to use a camera5.8.3、enter the [Exited] closed container again

The operating environment and software and hardware reference configurations are as follows:

  • REFERENCE MODEL: ROSMASTER X3

  • Robot hardware configuration: Arm series main control, Silan A1 lidar, AstraPro Plus depth camera

  • Robot system: Ubuntu (version not required) + docker (version 20.10.21 and above)

  • PC Virtual Machine: Ubuntu (20.04) + ROS2 (Foxy)

  • Usage scenario: Use on a relatively clean 2D plane

5.1、related concepts

  1. What is the host of Docker?

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The host is the server where we call the command to create a container using the image. This refers to the main control on our car (jetson or raspberry pi, etc.), and the host machine mentioned below refers to this.
  1. What is GUI?

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GUI is the graphical user interface, which mainly refers to: the image window displayed by opencv, rviz interface, rqt interface, etc.
  1. What is a docker container for robots

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The robot here is the Rosmaster car, that is, the Rosmaster trolley container that has been configured with various development dependent environments
  1. Before operating this chapter tutorial, please make sure that you have mastered the knowledge of the following chapters, otherwise you may feel more difficult to learn. In this case, please check the following pre-knowledge content repeatedly, you will feel very relaxed after mastering, Come on, you are the best!

image-20230519094253521

5.2、How to query the docker image version used by the robot

  1. The docker image version used by the robot is also the mirror version used on the trolley, and the user executes after the system image of the burned trolley is started:

xxxxxxxxxx
jetson@jetson-desktop:~$ docker images
REPOSITORY                   TAG       IMAGE ID       CREATED              SIZE
yahboomtechnology/ros-foxy   3.5.4     d307ad9f2cda   About a minute ago   14.2GB
192.168.2.51:5000/ros-foxy   1.0.0     31e97028c1c0   3 days ago           14.2GB
yahboomtechnology/ros-foxy   3.5.3     31e97028c1c0   3 days ago           14.2GB

You will see that there are multiple docker image versions, please select the name [yahboomtechnology/ros-foxy], the highest tag version is the latest image version of the robot. If you can find it here, use the [yahboomtechnology/ros-foxy:3.5.4] version, and the mirror image with the name [192.168.2.51:5000/ros-foxy] will not be bothered.

  1. Why can't you just put a docker image in the car system?

If you have read the tutorial in the chapter [07, Docker ------ 3, docker images to deeply understand and release images], you should know that docker images are layered mechanisms, that is, the image of the latter tag depends on the image of the previous tag. Therefore, there may be multiple versions of docker images in the host, and the tags of these images will be updated incrementally.

In the future, we will update the new course, and we will also update the function by releasing a new docker image

5.3、Binding peripherals

  • First make sure that the car has connected various peripherals, and has made port binding for peripherals, and port binding is handled on docker's host (car).

  • Common external features: serial port device, lidar, RGBD camera, voice control module, handle remote control, etc

  • By default, the car has been bound to Astra camera, lidar and serial device , if you need to bind other devices, please refer to the port binding tutorial

  • For the steps of port binding, see the tutorial chapter of [6. Linux Operating System ------ 06.Binding Device ID].

Port binding has been configured in the host, and you can view the content modification if you need to modify it:

image-20230506144842423

5.4、Check peripheral connections

This step operates on the host:

  1. Here is to view peripherals other than the camera, there is no voice control module connected here, and the connected [myspeech] device will be displayed

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ll /dev | grep ttyUSB*

image-20230423172753208

  1. Check the ports of the AstraPro Plus camera as follows:

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jetson@ubuntu:~$ ll /dev/astra*
lrwxrwxrwx 1 root root 15 May  5 17:42 /dev/astradepth -> bus/usb/001/007
lrwxrwxrwx 1 root root 15 May  5 17:42 /dev/astrauvc -> bus/usb/001/009

5.5、Edit scripts

Since the port number will change many times after the AstraPro Plus camera is plugged and unplugged, you need to re-edit the script to configure the port of the AstraPro Plus camera.

Edit the script running docker, this step is performed on the host:

  1. The script [run_docker.sh] that runs docker is generally placed in the root directory of the car owner directory, and I am here in the following path. If not, you can create the file yourself, remember to give the script executable permissions after creation.

x
chmod +x run_docker.sh  #Give the script executable permissions

image-20230423164551252

【run_docker.sh】The contents of the script are as follows:

Without comments, you can copy it directly and modify it as needed

Note: When adding a host device to a container below, if the host does not have the device connected, you need to remove the corresponding add operation to open the container

​x
#!/bin/bash
xhost +

docker run -it \
--net=host \
--env="DISPLAY" \
--env="QT_X11_NO_MITSHM=1" \
-v /tmp/.X11-unix:/tmp/.X11-unix \
-v /home/jetson/temp:/root/yahboomcar_ros2_ws/temp \
-v /home/jetson/rosboard:/root/rosboard \
-v /home/jetson/maps:/root/maps \
-v /dev/bus/usb/001/010:/dev/bus/usb/001/010 \          
-v /dev/bus/usb/001/011:/dev/bus/usb/001/011 \  
--device=/dev/astradepth \
--device=/dev/astrauvc \
--device=/dev/video0 \
--device=/dev/myserial \
--device=/dev/rplidar \
--device=/dev/input \
-p 9090:9090 \
-p 8888:8888 \
yahboomtechnology/ros-foxy:3.5.4 /bin/bash

Annotated script description:

Note: When adding a host device to a container below, if the host does not have the device connected, you need to remove the corresponding add operation to open the container

xxxxxxxxxx
#!/bin/bash
xhost + # xhost is used to support displaying GUIs in docker

docker run -it  # Run docker images interactively
--net=host# The container network is set to host mode
--env="DISPLAY"  # Open the display GUI interface
--env="QT_X11_NO_MITSHM=1"  # Port 1 of X11 is used for display
-v /tmp/. X11-unix:/tmp/. The X11-UNIX# map shows the service node directory
-v /home/jetson/temp:/root/yahboomcar_ros2_ws/temp  # As a directory for the host and container to temporarily transfer files, you can use this directory if you need to transfer files
-v /home/jetson/rosboard:/root/rosboard  # Directories used for app mapping and navigation
-v /home/jetson/maps:/root/maps  # directories used for app mapping and navigation
-v /dev/bus/usb/001/010:/dev/bus/usb/001/010  # Add the host device to the container, here is the astrpro plus device port, how the car is not connected to the camera, please remove this line
-v /dev/bus/usb/001/011:/dev/bus/usb/001/011  # Add the host device to the container, here is the astrpro plus device port, how the car is not connected to the camera, please remove this line
--device=/dev/astradepth  # Add the host device to the container, here is the astrpro plus device port, how the car is not connected to the camera, please remove this line
--device=/dev/astrauvc  # Add the host device to the container, here is the astrpro plus device port, how the car is not connected to the camera, please remove this line
--device=/dev/video0  # Add the host device to the container, here is the astrpro plus device port, how the car is not connected to the camera, please remove this line
--device=/dev/myserial  # Add the host device to the container, here is the serial device port, how the car is not connected to the serial port, please remove this line
--device=/dev/rplidar  # Add the host device to the container, here is the radar device port, how the car is not connected to the radar, please remove this line
--device=/dev/myspeech  # Add the host device to the container, here is the voice control device port, how the car is not connected to the voice control device, please remove this line
--device=/dev/input  # Add the host device to the container, here is the handle device port, how the trolley is not connected to the handle, please remove this line
-p 9090:9090# Open port
-p 8888:8888 
yahboomtechnology/ros-foxy:3.3.9 /bin/bash # The name of the image to be started, according to the modification queried in step 5.2; execute the /bin/bash command inside the container

#Note: When adding a host device to a container above, if the host does not connect to the device, you need to remove the corresponding add operation to open the container
  1. Modify the above script, these two lines are the port number of the AstraPro Plus camera, because the port number will change after the camera is plugged and unplugged, you need to reconfigure the port of the camera

xxxxxxxxxx
-v /dev/bus/usb/001/010:/dev/bus/usb/001/010  # Mount the storage volume to the container, mount it to a directory in the container, where the RGB and depth ports of the camera are mounted
-v /dev/bus/usb/001/011:/dev/bus/usb/001/011  

For the camera port queried in step 5.4 2, this port may change after the camera is plugged and unplugged, so each person is different and needs to be equipped by yourself.

xxxxxxxxxx
-v /dev/bus/usb/001/007:/dev/bus/usb/001/007  # Mount the storage volume to the container and mount it to a directory in the container, where the RGB and depth ports of the camera are mounted
-v /dev/bus/usb/001/009:/dev/bus/usb/001/009  

5.6、Execute scripts

After the 5.5 step is completed, open the terminal on the host of docker [that is, the car, which can be on VNC or on the screen of the car].

Note: Here must be executed on the VNC of the trolley or on the trolley screen, not in the trolley terminal entered remotely through ssh (such as the trolley terminal entered through MobaXterm), otherwise the GUI image may not be displayed in the container, as follows in MobaXterm into the trolley terminal execution run_docker.sh after entering the container, rviz cannot be displayed

image-20230423173220146

Execute on the VNC interface of the trolley or on the trolley screen:

x
./run_docker.sh

The container can be entered correctly, and the GUI screen can be displayed, and the rviz2 command test can be executed again.

image-20230423171929960

If the GUI cannot be displayed after executing the rviz2 command, the following error is displayed: (Generally, it may appear in the Raspberry Pi master)

image-20230509173232054

You need to add another parameter to the startup script:

xxxxxxxxxx
--security-opt apparmor:unconfined 

namely:

xxxxxxxxxx
#!/bin/bash
xhost +

docker run -it \
--net=host \
--env="DISPLAY" \
--env="QT_X11_NO_MITSHM=1" \
-v /tmp/.X11-unix:/tmp/.X11-unix \
--security-opt apparmor:unconfined \                        # Added this parameter
-v /home/jetson/temp:/root/yahboomcar_ros2_ws/temp \
-v /home/jetson/rosboard:/root/rosboard \
-v /home/jetson/maps:/root/maps \
-v /dev/bus/usb/001/010:/dev/bus/usb/001/010 \          
-v /dev/bus/usb/001/011:/dev/bus/usb/001/011 \  
--device=/dev/astradepth \
--device=/dev/astrauvc \
--device=/dev/myserial \
--device=/dev/rplidar \
--device=/dev/myspeech \
--device=/dev/input \
-p 9090:9090 \
-p 8888:8888 \
yahboomtechnology/ros-foxy:3.3.9 /bin/bash

Then run the script again to enter the container and display the GUI screen.

5.7、Switch models, radar, and camera

Note: Since ROSMASTER series robots are divided into multiple robots and multiple devices, the factory system has been configured with routines for multiple devices, but because the product cannot be automatically identified, it is necessary to manually set the machine type and radar model.

After entering the container: according to the model of the car, the type of radar and the type of camera, make the following modifications:

xxxxxxxxxx
root@ubuntu:/# cd
root@ubuntu:~# vim .bashrc

image-20230525093413004

After the modification is complete, save and exit vim, and then execute:

xxxxxxxxxx
root@ubuntu:~# source .bashrc
--------------------------------------------------------
ROS_DOMAIN_ID: 12
my_robot_type: x3 | my_lidar: a1 | my_camera: astraplus
--------------------------------------------------------
root@ubuntu:~#

You can see the model of the currently modified car, the type of radar and the type of camera

The robot project files are stored in the following directory:

xxxxxxxxxx
/root/yahboomcar_ros2_ws

5.8、multiple terminals enter the same docker container

  1. In the above steps, a docker container has been opened, and another terminal can be opened on the host (car) to view:

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docker ps -a

image-20230423182207793

  1. Now enter the docker container in this newly opened terminal:

xxxxxxxxxx
docker exec -it 5b698ea10535 /bin/bash

image-20230423182446607

Successfully entering the container, you can also open an unlimited number of terminals to enter the container.

The robot project files are stored in the following directory:

xxxxxxxxxx
/root/yahboomcar_ros2_ws
  1. Note:

(1) When executing the command in step 2, make sure that the container is in the [UP] state

image-20230423182959239

(2) If the container is in the Exited shutdown state, see Step 5.8 below

image-20230423183116348

5.8、How to open a container that is already in the [Exited] closed state

There are two cases here: you still need to use a camera and you no longer need to use a camera

5.8.1、Camera required

First of all, you need to check whether the port of the AstraPro Plus camera has changed according to the guidance in the [5.4, Check peripheral connection] step above.

  1. If the port of the Astra Pro camera changes, it cannot enter the container again.

(1) If there are some modifications in the container that need to be retained, you can refer to the following command to generate a new image:

xxxxxxxxxx
Commit an image from the container:
docker commit container ID Target image name to be created: [tag name]
For example: docker commit 66c40ede8c68 yahboomtechnology/ros-foxy:1.1 # tag names increment according to your own situation

Then run this new image into the container: see steps 5.2 to 5.6 in this section

(2) If there are no modifications that need to be retained, then directly refer to the [5.2 to 5.6] steps in this section to enter the container.

  1. If the port of the AstraPro Plus camera has not changed, then directly refer to the [5.8.3, enter the [Exited] closed container again] step to execute.

5.8.2、No need to use a camera

Directly refer to the [5.8.3, enter the [Exited] closed container again] step execution.

5.8.3、enter the [Exited] closed container again

Open the terminal on the docker's host [that is, the car, which can be on VNC or on the screen of the car].

Note: Here must be executed on the VNC of the car or on the screen of the car, not in the car terminal entered remotely through ssh (such as the car terminal entered through MobaXterm), otherwise the GUI image may not be displayed in the container, of course, how you do not need to display the GUI image, then you can.

  1. First, check the status of the container

xxxxxxxxxx
 docker ps -a
  1. Enable GUI access permissions

x
xhost +
  1. Open the container [the ID of the container here can be abbreviated, as long as it can uniquely identify the container that currently exists]

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docker start 5b
  1. Enter the container again

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docker exec -it 5b /bin/bash
  1. Open rviz to see if the GUI screen can be opened

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rviz2
  1. The specific implementation is as follows:

jetson@ubuntu:~$ docker ps -a
CONTAINER ID   IMAGE                              COMMAND       CREATED      STATUS                     PORTS     NAMES
5b698ea10535   yahboomtechnology/ros-foxy:3.3.9   "/bin/bash"   3 days ago   Exited (0) 8 seconds ago             ecstatic_lewin
jetson@ubuntu:~$ xhost +
access control disabled, clients can connect from any host
jetson@ubuntu:~$ docker start 5b
5b
jetson@ubuntu:~$ docker exec -it 5b /bin/bash
--------------------------------------------------------
my_robot_type: x3 | my_lidar: a1 | my_camera: astrapro
--------------------------------------------------------
root@ubuntu:/# rviz2
QStandardPaths: XDG_RUNTIME_DIR not set, defaulting to '/tmp/runtime-root'
[INFO] [1682298616.634096279] [rviz2]: Stereo is NOT SUPPORTED
[INFO] [1682298616.634576375] [rviz2]: OpenGl version: 3.1 (GLSL 1.4)
[INFO] [1682298617.959654036] [rviz2]: Stereo is NOT SUPPORTED

 

Docker hardware interaction and data processing
Building a Robot Development Environment in Docker

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