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ROSMASTER M3📖

00.Configuration and Operation Guide

1.Quick start handle to control the car
2.Log in to the car and view the code
3.Enter the Docker (For RPI5)
4.Camera and Radar Configuration (Must Read)
5.Assembly video
6.Modify Control Board Firmware Parameters

01.Chassis Control Course

01.ROS control
02.Handle control
03.Keyboard control
04.Robot state estimation
05.Data remote visualization
06.Line velocity calibration
07.Angular velocity calibration
08.Robot URDF model
09.Line patrol automatic driving
10.Patrol

02.Lidar Course

01.Lidar introduction and use
02.Lidar point cloud fusion and filtering
03.Lidar obstacle avoidance
04.Lidar tracking
05.Lidar guard
06.Gmapping-SLAM mapping
07.Cartographer-SLAM mapping
08.slam_toolbox mapping
09.Lifelong mapping
10.Navigation2 single-point navigation avoid
11.Navigation2 multi-point navigation avoid
12.Cartographer relocalization navigation
13.slam_toolbox localization and navigation
14.Synchronous mapping and navigation
15.RTAB-Map mapping
16.RTAB-Map navigation
17.APP mapping and navigation

03.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

04.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

05.AI Model - Voice Version

1.Semantic understand and command follow
2.Multimodal visual understanding
3.Multimodal visual understanding+SLAM navigation
4.Intention estimation

06.AI Model - Text Version

1.Semantic understand and command follow
2.Multimodal visual understanding
3.Multimodal visual understanding+SLAM navigation
4.Intention estimation

07.Road Network Planning and Navigation

1.Introduction and Quick Start
2.Constructing a Pose Map
3.Road Network Labelling
4.Inter-Road Network Planning and Navigation
5.Free-Pose Road Network Navigation
6.Path Replanning

08.Autonomous Driving expand(Need purchase track map)

01.Environment Setup & Precautions
02.YOLO Environment Configuration
03.Data Collection
04.Data Annotation
05.YOLOv11 Model Training
06.Model Format Conversion
07.Vehicle Centerline Calibration
08.Lane Detection
09.Lane-Keeping Autonomous Driving
10.Traffic Sign Recognition
11.Comprehensive Autonomous Driving Applications
12.Autonomous Driving Debugging Module
13.Road Network Planning with Track Map
14.Road Network Planning with Traffic Sign Recognition
15.AI Model with Road Network Planning
16.AI Model with Track Map and SLAM Navigation
17.AI Model with Road Network Planning and Autonomous Driving

09.Depth Camera Course

01.Dabai_DCW2 Camera Introduction
02.Nuwa-HP60C Camera Introduction
03.Depth Pseudo-Color Image
04.Depth Camera Distance Measurement
05.Wood Block Volume Measurement
06.Edge Detection
07.YOLOv11 Object Detection
08.YOLOv11 Object Tracking
09.Color Following
10.Face Following
11.QR Code Following
12.Machine Code Following
13.KCF Object Tracking
14.QR Code Motion Control
15.AR Vision

10.Mediapipe Visual Course

01.Hand Detection
02.Posture Detection
03.Overall Detection
04.Facial Landmark Detection
05.3D Object Recognition
06.Face Detection
07.Gesture Recognition
08.Face Special Effects
09.Brush
10.Finger Control
11.Palm Target Positioning
12.Fingertip Trajectory Recognition
13.Gesture Following
14.Posture Following
15.Gesture Motion Control

11.Multi-vehicle Course

1.Multi-vehicle Control
2.Multi-vehicle Navigation
3.Multi-vehicle Platoon

12.AI Large Model Basic Course

Offline large model (Text Interaction)

0. AI Large Model Mirroring Explanation
1. Deployment of large-scale AI models
2. Installation of the large model dialogue platform
3. Meta AI Llama 3.2 model
4. Alibaba Cloud Qwen3 Model
5. DeepSeek DeepSeek-R1 model
6. Microsoft Phi-4 mini model
7. Alibaba Cloud Qwen2.5vl Visual Multimodal Large Model
8. Google Gemma3 Visual Multimodal Large Model
9. Llava Visual Multimodal Large Model
10. Multimodal Visual Understanding Applications
11.MiniCPM-V Visual Multimodal Large Model
12. Multimodal Text-Based Image Application
13. Multimodal Video Analysis Application
14. Multimodal table scanning application
15. Multimodal visual positioning applications
16. Multimodal Autonomous Agent Application

Offline large model (Voice Interaction)

0. Voice Interaction Hardware Connection (Must Read)
1. Offline speech-to-text (ASR)
2. Offline Text-to-Speech (TTS)
3. AI large model voice interaction
4. Multimodal visual understanding and voice interaction
5. Multimodal Text-Based Image Application
6. Multimodal Video Analysis Application
7. Multimodal visual positioning applications
8. Multimodal table scanning application
9. Multimodal Autonomous Agent Applications
10. AI large model offline voice assistant

Online large model (Text Interaction)

1. OpenRouter Large Model API Aggregation Platform
2. Multimodal visual understanding applications
3. Multimodal visual positioning applications
4. Multimodal table scanning application
5. Multimodal Autonomous Agent Applications

Online large model (Voice Interaction)

0. Voice Interaction Hardware Connection (Must Read)
1. Online speech-to-text (ASR)
2. Online Text-to-Speech (TTS)
3. AI large model voice interaction
4. Multimodal visual and voice interaction
5. Multimodal visual positioning applications
6. Multimodal table scanning application
7. Multimodal Autonomous Agent Applications
8. AI large model online voice assistant

13.Control Board Course

1.Development environment setup

1.Introduction to the Control Board
2.Set up the STM32CUBEIDE development environment
3.Burning STM32 firmware using SWD
4.Burning STM32 firmware using serial port
5.Compile the microros driver library
6.Install and start the microros agent
7.Import Project

2.Control board STM32 basic routine

1.Turn on the LED light
2.Button functions
3.Drive the buzzer
4.Serial communication
5.Battery voltage detection
6.Driving PWM Servo
7.Drive motor
8.Read motor encoder data
9.PID control of motor speed
10.Robot kinematics analysis theory
11.Read IMU data
12.Read Lidar data
13.Flash access data
14.Driving OLED Displays
15.Driving RGB light strip
16.SBUS model aircraft remote control
17.USB controller remote control
18.CAN bus communication

3.Control board micro_ros basic routine

1.Post a topic
2.Subscribe to a topic
3.Multi-topic subscription and publishing
4.Subscribe to the buzzer topic
5.Subscribe to the bus servo topic
6.Subscribe to the rate control topic
7.Release Speed Topic
8.Publish IMU data topic
9.Publish radar data topic

14.Main Control Course

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

RDKX5

1.Introduction to RDK X5 board
2.Write system file
3.Hardware interface description
4.Install case and other accessories
5.Network configuration
6.Remote login
7.Update system
8.srpi-config user guide
9.config. txt configuration file
10.Self-startup setting
11.RDK exclusive command usage
12.Linux command usage
13.GPIO readwrite operation
14.Image classification algorithm
15.Use USB camera
16.Use MIPI camera
17.Binocular camera depth algorithm

15.YOLOv11 Development (ORIN)

1.YOLO environment construction
2.CLI use
3.Object detection
4.Instance segmentation
5.Pose estimation
6.Image classification
7.Oriented object detection
8.Model conversion
9.Dataset annotation
10.Model Training_Conversion
11.Model prediction

16.YOLOv11 Development(RDKX5）

1.YOLO environment construction
2.CLI use
3.Object detection
4.Instance segmentation
5.Pose estimation
6.Image classification
7.Oriented object detection
8.Model prediction
9.Model Quantization

17.YOLOv11 Development (RPI)

1.YOLO environment construction
2.CLI use
3.Object detection
4.Instance segmentation
5.Pose estimation
6.Image classification
7.Oriented object detection
8.Model conversion
9.Model prediction

18.Linux Operating System

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

19.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

20.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

21.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

Download

Mapping_APP(iOS_Android)
MainBoard_AI_Pure_System
Robot_Image_System_File
Code-Firmware
Instruction_Manual
VM_File
Software_Tools
Firmware_DriverFile
3D_Model_File
ROS2_Basic_VM
Other_Annex

Welcome to ROSMASTER M3 repository

4、Docker hardware interaction and data processing

Docker images deeply understand and publish images

Enter the bot's docker container

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