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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

13.2 Multi-machine navigation

2. Multi-machine navigation

2. Multi-machine navigation2.1. Introduction2.2. Use1.2.1. Start the robot1.2.2. Enable multi-machine navigation1.2.3. Set communication topic1.2.4. Set initial pose2.3, launch file2.4. Framework analysis

2.1. Introduction

Regarding how to configure multi-machine communication and synchronization time, please refer to the lesson [Multi-machine joystick control] for details; if there is a network, the network system time can be synchronized directly without setting.

When using multi-machine handle control, you first need to ensure that the robots are under the same LAN and configured with the same [ROS_MASTER_URI]; multiple robots can only have one host to control their movements. In the case of this section, the virtual machine is set as the host machine, and other robots are slave machines. There are several slave machines. Of course, you can also set a certain robot as the master machine and the others as slave machines.

According to different models, you only need to set the purchased model in [.bashrc], X1 (normal four-wheel drive) X3 (Mailun) Take X3 as an example

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#Raspberry Pi 5 master needs to enter docker first, please perform this step
#If running the script into docker fails, please refer to ROS/07, Docker tutorial
~/run_docker.sh

Open the [.bashrc] file

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sudo vim .bashrc

Find the [ROBOT_TYPE] parameters and modify the corresponding car model

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export ROBOT_TYPE=X3 # ROBOT_TYPE: X1 X3 X3plus R2 X7

2.2. Use

Take the virtual machine as the host and the three robots as slaves as an example; a map must be available before use.

1.2.1. Start the robot

Virtual machine side

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roscore

Start the command (robot1 side). For the convenience of operation, this section takes [mono + laser + yahboomcar] as an example.

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roslaunch yahboomcar_multi laser_bringup_multi.launch ns:=robot1 # laser + yahboomcar
roslaunch yahboomcar_multi laser_usb_bringup_multi.launch ns:=robot1 # mono + laser + yahboomcar
roslaunch yahboomcar_multi laser_astrapro_bringup_multi.launch ns:=robot1 # Astra + laser + yahboomcar

Start the command (robot2 side). For the convenience of operation, this section takes [mono + laser + yahboomcar] as an example.

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roslaunch yahboomcar_multi laser_bringup_multi.launch ns:=robot2 # laser + yahboomcar
roslaunch yahboomcar_multi laser_usb_bringup_multi.launch ns:=robot2 # mono + laser + yahboomcar
roslaunch yahboomcar_multi laser_astrapro_bringup_multi.launch ns:=robot2 # Astra + laser + yahboomcar

More robots and so on.

1.2.2. Enable multi-machine navigation

For the handle control opening process, please refer to the lesson [Multi-machine handle control].

Virtual machine side

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roslaunch yahboomcar_multi yahboomcar_nav_multi.launch use_rviz:=true map:=my_map
  • [use_rviz] parameter: whether to open rviz.

  • [map] parameters: map name, map to be loaded.

image-20220303102707202

After turning on the multi-machine navigation, there is a dense mess. The pose of each robot is incorrect. First, the initial pose must be set for each robot.

Tip: Start if it prompts my_map error

The terminal content path of the .yaml file should be changed correctly

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1.2.3. Set communication topic

image-20220303103526172

Right-click on the toolbar (green frame) and a dialog box (red frame) will pop up, as shown in the picture above. Right-click on [2D Pose Estimate], and then select [Tool Properties], as shown below, a dialog box will pop up.

image-20220303103719432

From top to bottom [2D Pose Estimate] and [2D Nav Goal] correspond to the [rviz] toolbar from left to right. Set the topic name pointed by the red arrow. This method is quick and convenient.

What should I do if there are 4 or more robots and the initial pose and navigation icons are not enough?

At this time, you need to open the [navigation_multi.rviz] file (open whichever rviz you use, take [navigation_multi.rviz] as an example) and find the following content. These contents correspond to the icons in the rviz toolbar one-to-one. If you want to add an icon, copy the entire [Class] content of that icon. You must not miss anything, and the format must be correct.

Tools:
     - Class: rviz/MoveCamera
     - Class: rviz/Interact
       Hide Inactive Objects: true
     - Class: rviz/Select
     - Class: rviz/SetInitialPose
       Theta std deviation: 0.2617993950843811
       Topic: robot1/initialpose
       X std deviation: 0.5
       Y std deviation: 0.5
     - Class: rviz/SetGoal
       Topic: robot1/move_base_simple/goal
     - Class: rviz/SetInitialPose
       Theta std deviation: 0.2617993950843811
       Topic: robot2/initialpose
       X std deviation: 0.5
       Y std deviation: 0.5
     - Class: rviz/SetGoal
       Topic: robot2/move_base_simple/goal
     - Class: rviz/SetInitialPose
       Theta std deviation: 0.2617993950843811
       Topic: robot3/initialpose
       X std deviation: 0.5
       Y std deviation: 0.5
     - Class: rviz/SetGoal
       Topic: robot3/move_base_simple/goal
     - Class: rviz/Measure

1.2.4. Set initial pose

There are too many robots and the information on the map is very complicated. In this case, you can uncheck the check mark behind the robot in the [Displays] display item list on the left and set the pose of each robot in turn. The effect after setting is as follows. Once set up, you can navigate.

image-20220303103345297

  • Use the [2D Pose Estimate] of the [rviz] tool to set the initial pose until the position of the car in the simulation is consistent with the position of the actual car.

  • Click [2D Nav Goal] of the [rviz] tool, and then select a target point on the map where there are no obstacles. Release the mouse to start navigation. Only one target point can be selected, and it will stop when it is reached.

2.3, launch file

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<launch>
     <arg name="first_robot1" default="robot1"/>
     <arg name="second_robot2" default="robot2"/>
     <arg name="third_robot3" default="robot3"/>
     <!-- Whether to open rviz || Whether to open rviz -->
     <arg name="use_rviz" default="true"/>
     <!-- Map name || Map name -->
     <arg name="map" default="my_map"/>
     <!-- Load map || Load map -->
     <node name="map_server" pkg="map_server" type="map_server" args="$(find yahboomcar_nav)/maps/$(arg map).yaml"/>
     <node pkg="rviz" type="rviz" name="rviz" required="true"
           args="-d $(find yahboomcar_multi)/rviz/navigation_multi.rviz" if="$(arg use_rviz)"/>
     <!-- Multi machine handle control || Multi machine handle control-->
     <include file="$(find yahboomcar_multi)/launch/joy_multi.launch"/>
     <!-- Mobile app node || Mobile app node-->
     <include file="$(find yahboomcar_nav)/launch/library/app.launch"/>
     <!-- ############################ first_robot1 ################ ############# -->
     <include file="$(find yahboomcar_multi)/launch/library/move_base_multi.launch">
         <arg name="ns" value="$(arg first_robot1)"/>
     </include>
     <!-- ############################ second_robot2 ################ ############# -->
     <include file="$(find yahboomcar_multi)/launch/library/move_base_multi.launch">
         <arg name="ns" value="$(arg second_robot2)"/>
     </include>
     <!-- ############################ third_robot3 ################ ############# -->
     <include file="$(find yahboomcar_multi)/launch/library/move_base_multi.launch">
         <arg name="ns" value="$(arg third_robot3)"/>
     </include>
</launch>

You can modify it according to your own needs. If there are 4 or more robots, just follow the case of the first 3 robots and add relevant content.

2.4. Framework analysis

  • Node view

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rqt_graph

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There are a lot of node diagrams, which look complicated, but are actually very organized. The internal nodes for each robot are almost the same, and the navigation of a single robot is also the same. It should be noted here that the map only needs to be loaded once, and does not need to be loaded for every robot. At the same time, I also enabled the node controlled by the handle. One handle controls multiple robots at the same time, and only needs to start the [joy_node] node once.

  • View tf tree

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rosrun rqt_tf_tree rqt_tf_tree

1226

There are also a lot of tf coordinate systems, so you need to zoom in to see them. There is only one [map] globally, and each [amcl] locates each robot separately. From then on, it is the same as single robot navigation.

Multi-machine handle control
Multi-machine formation

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