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ROSMASTER M3 PRO📖
0.Configuration and Operation Guide
  • 1. Quick start handle to control the car
  • 2. Log in to the car and view the code
  • 3. Robotic Arm Calibration
  • 4. Enter the Docker (Jetson-Nano and Raspberry Pi 5 users, see here)
  • 5. Assembly video
  • 6. Modify the firmware parameters of the car control board
  • 7. Frequently Asked Questions and Precautions
  • 8. Precautions for DIY Robotic Arm
1.Chassis Control Course
  • 1.ROS control
  • 2.Handle control
  • 3.Keyboard control
  • 4.Angular velocity calibration
  • 5.Line velocity calibration
  • 6.Line patrol automatic driving
  • 7.Patrol
2.Lidar Course
  • 1.Lidar introduction and use
  • 2.Dual Lidar fusion
  • 3.Lidar obstacle avoidance
  • 4.Lidar tracking
  • 5.Lidar guard
  • 6.Gmapping-SLAM mapping
  • 7.Cartographer-SLAM mapping
  • 8.slam_toolbox mapping
  • 9.Navigation2 single-point navigation avoid
  • 10.Navigation2 multi-point navigation avoid
  • 11.Repositioning navigation
  • 12.RTAB-Map mapping
  • 13.RTAB-Map navigation
  • 14.APP mapping navigation
  • 15.Machine code handling
  • 16.Color block transport
  • 17.Navigation via Pose-Constrained Visual Relocalizationnew
3.Depth Camera Course
  • 1.Dabai_DCW2 camera introduction
  • 2.Depth pseudo-color image
  • 3.Depth camera distance measurement
  • 4.Wood block volume measurement
  • 5.Mediapipe gesture recognition
  • 6.Edge detection
  • 7.YOLOv8 object detection
  • 8.Deep learning object tracking
  • 9. Transformer Model Tracking Algorithmnew
4.Robotic Arm and 3D Space Gripping Course
  • 1.Robotic arm solution
  • 2.Robotic arm chassis linkage control
  • 3.Machine code ID sorting
  • 4.Sorting height abnormality machine code
  • 5.Tracking and gripping machine code
  • 6.Color block color sorting
  • 7.Sorting height abnormality color block
  • 8.Tracking and gripping color block
  • 9.Wood block shape sorting
  • 10.KCF tracking and gripping objects
  • 11.Medipipe gesture ID sorting machine code
  • 12.Mediapipe gesture height sorting machine code
  • 13.Desktop tracking and gripping machine code
  • 14.3D tracking machine code
  • 15.Line patrol and obstacle removal
5.Road network planning and navigationnew
  • 1. Introduction To Road Network Planning
  • 2. Build A Pose Map
  • 3. Road Network Annotation
  • 4. Planning And Navigation Between Waypoints
  • 5. Road Network Navigation In Any Pose
  • 6. Path Re-planning
6.OpenClaw Basic Coursenew
  • 1. Introduction to OpenClaw
  • 2. OpenClaw Core Concepts
  • 3. OpenClaw API-KEY Configuration
  • 4. OpenClaw Switch Models
  • 5. OpenClaw System Prompt Words
  • 6. OpenClaw Common CLI Commands
7.OpenClaw Interaction Methodnew
  • 1. OpenClaw Webchat Interaction
  • 2. OpenClaw Tui Interaction
  • 3. OpenClaw Voice Dialogue Interaction
  • 4. OpenClaw WhatsApp Interaction
8.OpenClaw Developmentnew
  • 1. OpenClaw connects to the MCP interface of the robot
  • 2. Robot CLI Command Tool
  • 3. Robot control plugin tool
  • 4. Reply bridge plugin tool
  • 5. OpenClaw multimodal vision
  • 6. OpenClaw chassis control
  • 7. OpenClaw robotic arm control
  • 8. OpenClaw skills development
  • 9. OpenClaw timed tasks
  • 10. OpenClaw multi-agent intelligent agent
  • 11. OpenClaw active interaction
  • 12. OpenClaw vector memory
9.OpenClaw Embodied intelligent applicationnew
  • 1. OpenClaw target tracking
  • 2. OpenClaw robotic arm tracking and grasping
  • 3. OpenClaw robotic arm fixed-point placement
  • 4. OpenClaw garbage sorting
  • 5. OpenClaw slam mapping and navigation
  • 6. OpenClaw navigation transfer
  • 7. OpenClaw machine code clip
  • 8. OpenClaw color line patrol
  • 9. OpenClaw visual distance measurement
10.OpenClaw scenario sandboxnew
  • 1. Map description and prop placement
  • 2. Build sand table map
  • 3. Visual relocation markers
  • 4. Map mapping markers
  • 5. OpenClaw scenario sandbox comprehensive case
11.AI Model Basics
  • 1.AI large model types and principles
  • 2.RAG retrieval enhancement and model training samples
  • 3.Embodied intelligent robot system architecture
  • 4.Embodied intelligent functions core source code
12.AI Model Development
  • 01.Register a model service provider account
  • 02. Configuring API-KEY
  • 03. Introduction to Dify
  • 04. Basic Dify Features
  • 05. AI Large Model Development - chatbot
  • 06. Deploy the RAG knowledge base
  • 07. RAG knowledge base + chatbot
  • 08. AI agent workflow
  • 09. Custom wake-up response
  • 10. Core module testing tools
13.AI Large Model (Text Version)
  • 1.Semantic understand instruction following
  • 2.Multimodal visual understand
  • 3.Multimodal visual understand+robotic arm grab
  • 4.Multimodal visual understand+SLAM navigation
  • 5.Robotic arm grab+Multimodal visual understand+SLAM navigation
  • 6.Intention estimation
14.AI Large Model(Voice Version)
  • 1.Semantic understand instruction following
  • 2.Multimodal visual understand
  • 3.Multimodal visual understand+robotic arm grab
  • 4.Multimodal visual understand+SLAM navigation
  • 5.Robotic arm grab+Multimodal visual understand+SLAM navigation
  • 6.Intention estimation
15.Mediapipe Visual Course
  • 1.Hand detection
  • 2.Posture detection
  • 3.Overall detection
  • 4.Facial Landmark Detection
  • 5.Face detection
  • 6.Face special effects
  • 7.3D object recognition
  • 8.Brush
  • 9.Finger control
  • 10.Palm target positioning
  • 11.Fingertip trajectory recognition
  • 12.Fingertip gesture control robotic arm
  • 13.Gesture grabbing and releasing objects
  • 14.Finger control robotic arm
  • 15.Medipipe gesture control robotic arm action group
16.MoveIt2 Simulation Course
  • 1.MovelT2 configuration
  • 2.MovelT2 simulation-reality linkage
  • 3.Random movement
  • 4.Forward kinematics design
  • 5.Inverse kinematics design
  • 6.Cartesian path
  • 7.Trajectory planning
  • 8.Collision detection
  • 9.Scene design
17.Multi-vehicle Course
  • 1.Multi-vehicle chassis control
  • 2.Multi-vehicle robotic arm control
  • 3.Multi-vehicle navigation
  • 4.Multi-vehicle formation
18.Control Board Course
  • 1.Development environment setup
  • 2.Control board STM32 basic routine
  • 3.Control board micro_ros basic routine
19.Docker Course
  • 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
20.Image Processing Basics Course
  • 1. Introduction to Open Source CV
  • 2. Image reading and display
  • 3. Image writing
  • 4. Image quality
  • 5. Pixel Operation
  • 6. Image zoom
  • 7. Image cutting
  • 8. Image translation
  • 9. Image Mirroring
  • 10. Affine Transformation
  • 11. Image Rotation
  • 12. Perspective Transformation
  • 13. Grayscale processing
  • 14. Image Binarization
  • 15. Edge Detection
  • 16. Line drawing
  • 17. Rectangle and circle drawing
  • 18. Drawing text and pictures
21.Main Control Course
Jetson Nano B01
  • 1. Introduction to the Jetson Nano B01 SUB Board
  • 2. Burn the system image
  • 3. Re-read the memory card or USB drive that has been burned
  • 4. Startup system
  • 5. Jetson Nano B01 System and Desktop Introduction
  • 6. Memory card or USB flash drive expansion
  • 7. Network Configuration
  • 8. SSH remote login & file transfer
  • 9. VNC Remote Login
  • 10. Jetson Nano B01 system backup
  • 11. Jetson Nano Swap space increased
  • 12. Installation and use of Jtop
Jetson Orin Nano_NX
  • 1.Jetson Orin board introduction
  • 2.Restore the factory image system
  • 3.Backup SSD system
  • 4.SSD expansion
  • 5.Network configuration
  • 6.SSH remote login
  • 7.VNC remote control
  • 8.Remote file transfer
  • 9.Jtop tool
  • 10.Exchange space expansion
Raspberry Pi
  • 1. Introduction to Raspberry PI 5
  • 2. Raspberry PI system installation and backup
  • 3. Powering the Raspberry PI 5
  • 4. Startup of Raspberry PI 5
  • 5. Update and upgrade operating system
  • 6. Introduction to raspi-config tool
  • 7. config.txt file description
  • 8. Network Configuration
  • 9. remote access
  • 10. Transfer files remotely
  • 11. Set display resolution and rotation
  • 12. Set screen to sleep
  • 13. Play audio and video
  • 14. Using USB camera
  • 15. Using MIPI camera
  • 16. Get real-time temperature of Raspberry Pi
22.Linux System Course
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
23.ROS2 Basic Course
  • 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
Download
  • Mapping_APP(iOS_Android)
  • Robot_Image_System_File
  • Code-Firmware
  • Instruction_Manual
  • VM_File
  • Software_Tools
  • Firmware_DriverFile
  • 3D_Model_File
  • ROS2_Basic_VM
  • Other_Annex
Download ZIP

Welcome to ROSMASTER M3 PRO repository

6、Robot development environment construction in Docker

6、Robot development environment construction in Docker

 

6、Robot development environment construction in Docker6.1、Using Jupyter Lab to access Docker6.2、Use vscode to access docker6.2.1、Remote configuration6.2.2、vscode configuration6.2.2.1、download and install VSCODE6.2.2.2、vscode configuration ssh remote login to the host6.2.2.3、enter the robot container6.2.2.4、Vscode remote host configuration docker environment6.2.2.5、Configure passwordless login

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

6.1、Using Jupyter Lab to access Docker

  1. Enter the container, see [5. Enter the docker container of the robot], and execute the following command:

Note: When using Jupyter Lab in a docker container, you must run the docker container as host: add the "--net=host" parameter when running the container

root@ubuntu:/# jupyter lab --allow-root
[I 2023-04-24 09:27:45.265 ServerApp] Package jupyterlab took 0.0001s to import
[I 2023-04-24 09:27:45.277 ServerApp] Package jupyter_server_fileid took 0.0096s to import
[I 2023-04-24 09:27:45.297 ServerApp] Package jupyter_server_terminals took 0.0190s to import
[I 2023-04-24 09:27:45.429 ServerApp] Package jupyter_server_ydoc took 0.1301s to import
[I 2023-04-24 09:27:45.431 ServerApp] Package nbclassic took 0.0001s to import
..................
  1. Other devices view, open in Windows or Ubuntu browser (must be under the same LAN, 192.168.2.102 is the IP address in the docker container)

xxxxxxxxxx
http://192.168.2.102:8888/lab
Enter the password: Yahboom            enter Jupyter Lab

image-20230424173324001

The following directory is the project path of the bot:

image-20230425101243048

6.2、Use vscode to access docker

Let's take the example of configuring VSCODE to access the Docker container in Windows, and the steps to access Docker in Ubuntu are basically the same.

6.2.1、Remote configuration

See [VI. Linux Operating System---- 3. Remote Control] chapter

Make sure Windows can telnet to the Docker host [car]:

​x
Open cmd in windows enter ssh command test: ssh jetson@192.168.2.102 (username and ip modified to own)

Or use remote tools: putty, xshell, securecrt, winscp, mobaxterm, finalshell, etc

6.2.2、vscode configuration

6.2.2.1、download and install VSCODE

VSCODE official website: https://code.visualstudio.com/, download the installation of the Windows version

6.2.2.2、vscode configuration ssh remote login to the host

  1. Open vscode, click the icon of the arrow at the bottom left, then enter remote in the search box, select the Remote Development plugin, and click Install to install the plugin

image-20230424183009372

vscode is installed by default and then in English, and you can install Chinese plugins to localize:

image-20230424182205246

  1. Press the shortcut key [Ctrl + Shift + P] in VSCODE to open the command input window, type: remote, and then log in to the remote host [car] according to the instructions shown below.

image-20230425091020733

image-20230425091230849

image-20230425091248247

image-20230425091304318

image-20230425091323608

image-20230425091358042

image-20230425091415820

How to see the screen shown above, indicating that you have successfully logged in to the host computer.

6.2.2.3、enter the robot container

See the tutorial in the [5. Enter the docker container of the robot] chapter.

6.2.2.4、Vscode remote host configuration docker environment

  1. Install the docker plug-in on the remote host [car].image-20230425091515978

  2. After the installation is completed, a docker icon will appear in the left navigation bar

image-20230425091532747

  1. Click the docker icon

image-20230425093400792

  1. Right-click the running container and operate as shown below:

image-20230425093448428

image-20230425093609630

  1. A new window will open and see the following indicates that it has entered the container

image-20230425093643476

  1. Open the folder

xxxxxxxxxx
/root/yahboomcar_ros2_ws  # This is the project path for the bot

image-20230425093748086

image-20230425093730162

image-20230425093808074

image-20230425093900096

  1. Similarly, we can also install the plug-ins we need in the container to facilitate our development

image-20230425102200355

In addition to ROS, the recommended plugins to install here are:

img

After completing the above steps, you can manipulate the code files in the container to develop and learn.

6.2.2.5、Configure passwordless login

In the above steps, some steps may require entering the password of the host, here is another optimization, configure passwordless login.

  1. First test using SSH to log in to the host [car] in Windows, the instructions are as follows:

xxxxxxxxxx
ssh jetson@192.168.2.102 (username and IP modified to own)

At this time, you will find that you need to enter the host password

  1. Next, configure password-free login

(1) Add environment variables

Open the environment variable properties page, click New in the user variables section, the variable is HOME, the value is C:Usersname, where name is the user name, you can view the user name of your own computer, and then the generated key pair is saved in this directory by default. 在这里插入图片描述

(2) Generate a key pair

Open the cmd command line, run it in the directory where the ssh program is located, or run [ssh-keygen -t rsa] anywhere after adding the system environment to generate the key, and then enter all the way, when you see a histogram generated, then the key is generated successfully. At this time, there will be two more files under the .ssh folder of the user directory, namely id_rsa (private key) and id_rsa.pub (public key)

img

(3) Add the public key to the host

Similarly, open the cmd command line, enter

xxxxxxxxxx
ssh username@host "cat >> ~/.ssh/authorized_keys" < C:Usersname.sshid_rsa.pub 
#For example: Modify ssh jetson@192.168.2.102 "cat >> ~/.ssh/authorized_keys" < C:UsersAdmin.sshid_rsa.pub  

This command first logs in to the host, and then adds the public key under the local computer, i.e. win, to the personal directory of the host account to achieve password-free login. Note that this step requires the password of the host account.

(4) Verification

Test again using ssh in Windows to log in to the host [trolley], the command is as follows:

xxxxxxxxxx
ssh jetson@192.168.2.102 (username and IP modified to own)

At this time, you will find that you no longer need to enter the password.

Restart VSCODE, and where you need to enter a password, you don't need to enter a password.

Enter the bot's docker container
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