yahboom
HomeLearn
Solution
Blog
Online Store
About Us
EN/中文
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
Download ZIP

Welcome to ROSMASTER M3 repository

9.config. txt configuration file

config.txt Configuration File

config.txt Configuration FileNotesDevice Tree Configurationdtdebugdtoverlay[Only X5 supports]iondtparamCPU Frequencyarm_boostgovernorfrequencyX5 CPU Frequencyarm_boostIO InitializationgpioExampleTemperature Controlthrottling_tempshutdown_tempOption Filtering

RDK uses the configuration file config.txt to set system configurations during startup. config.txt is read during the uboot stage and supports modifications to device tree configurations, IO pin states, ION memory, CPU frequency, etc. This file is usually accessible from Linux at /boot/config.txt and must be edited as the root user. If the config.txt file does not exist but there are configuration settings, simply create it as a new text file.

Notes

Note

  1. The config.txt configuration file is only applicable to the RDK X3 and RDK X3 Module development boards and not for the RDK Ultra development board.
  2. The system version must be at least 2.1.0.
  3. The miniboot version cannot be earlier than the version dated 20231126. Refer to [rdk-miniboot-update] for updating the miniboot on the board.
  4. If you add filtering items to this configuration file, please note whether the configuration items will be filtered out when using the srpi-config tool.

Device Tree Configuration

dtdebug

If dtdebug is non-zero, it will output configuration logs during the device tree configuration process in the uboot stage.

xxxxxxxxxx
dtdebug=1

 

dtoverlay

Supports device tree overlays, providing a more flexible way to adjust the device tree.

[X5 not supported] For example, to adjust the size of ION memory using ion_resize, the following configuration will modify the ION memory size to 1GB.

xxxxxxxxxx
dtoverlay=ion_resize,size=0x40000000

 

[Only X5 supports] Use dtoverlay_spi5_spidev to add /dev/spidev5.0(Note: The CAN device has also received SPI5, so Spidev and CAN can only choose one from the other)

xxxxxxxxxx
dtoverlay=dtoverlay_spi5_spidev

 

[Only X5 supports]ion

use ion_reserved_size ion_carveout_size ion_cma_size to modify the ION partition size

boot namedts namedts compatiblesize
ion_reserved_sizeion_reservedion-pool320M
ion_carveout_sizeion_carveoution-carveout320M
ion_cma_sizeion_cmaion-cma128M
xxxxxxxxxx
ion=ion_reserved_size=0x14000000
ion=ion_carveout_size=0x14000000
ion=ion_cma_size=0x08000000

 

dtparam

Supports enabling and disabling buses such as uart, i2c, spi, i2s, etc.

Currently supported options: uart3, spi0, spi1, spi2, i2c0, i2c1, i2c2, i2c3, i2c4, i2c5, i2s0, i2s1

[X5] uart0, uart1, uart5, spi1, spi5, i2c0, i2c2, i2c3, i2c4, i2c5, i2c6, i2c7, dw_i2s0, dw_i2s1

For example, to disable uart3:

xxxxxxxxxx
dtparam=uart3=off

 

For example, to enable i2c5:

xxxxxxxxxx
dtparam=i2c5=on

 

CPU Frequency

arm_boost

When set to 1, enables overclocking. For RDK v1.x, the maximum frequency is increased to 1.5GHz. For RDK V2.0 and RDK Module, the maximum frequency is increased to 1.8GHz. Use cat /sys/devices/system/cpu/cpufreq/scaling_boost_frequencies to retrieve the higher CPU frequencies enabled by boost.

By default, overclocking is disabled. Set arm_boost to 1 to enable, for example:

xxxxxxxxxx
arm_boost=1

 

governor

The scheduling method for CPU frequency. Various options like conservative, ondemand, userspace, powersave, performance, and schedutil are available. Use cat /sys/devices/system/cpu/cpufreq/scaling_available_governors to get the available modes.

For example, setting the CPU to run in performance mode:

xxxxxxxxxx
governor=performance

 

Refer to [CPU Frequency Management] for more information on CPU scheduling methods.

frequency

When governor is set to userspace, this option allows the CPU to run at a fixed frequency. Currently, common frequencies like 240000, 500000, 800000, 1000000, 1200000, 1500000, 1800000 can be set. Use cat /sys/devices/system/cpu/cpufreq/scaling_available_frequencies to get the list of available frequencies.

For example, setting the CPU to run at 1GHz:

xxxxxxxxxx
governor=userspace
frequency=1000000

 

X5 CPU Frequency

For details about CPU scheduling methods, please refer to X5 CPU Frequency Management. This section focuses on configuring config.txt.


arm_boost

When set to 1, overclocking is enabled, increasing the maximum frequency of the RDK X5 to 1.8GHz. You can check which higher CPU frequencies are enabled after boosting by running:

xxxxxxxxxx
cat /sys/devices/system/cpu/cpufreq/policy0/scaling_boost_frequencies

 

IO Initialization

gpio

Supports configuring IO functionality, including multiplexing, input/output modes, high/low output levels, and pull-up/pull-down modes.

xxxxxxxxxx
gpio:
ip - Input                             Set as input mode
op - Output                            Set as output mode
f0-f3 - Func0-Func3                    Set function multiplexing (f3 sets to IO mode, refer to the register manual for other functions)
dh - Driving high (for outputs)        Output high level
dl - Driving low (for outputs)         Output low level
pu - Pull up                           Enable pull-up
pd - Pull down                         Enable pull-down
pn/np - No pull                        No pull-up or pull-down

 

Example

Configure GPIO5 and GPIO6 on 40Pin as IO mode:

xxxxxxxxxx
gpio=5=f3
gpio=6=f3
# For consecutive pins, you can also configure them in the following way
gpio=5-6=f3

 

Configure GPIO5 on 40Pin as input mode:

xxxxxxxxxx
gpio=5=f3
gpio=5=ip

 

Configure GPIO6 on 40Pin as output mode and drive low level:

xxxxxxxxxx
gpio=6=f3
gpio=6=op,dl

 

Configure GPIO6 on 40Pin as output mode, drive high level and set pull up:

xxxxxxxxxx
gpio=6=f3
gpio=6=op,dl,pu

 

Temperature Control

throttling_temp

The temperature point at which the system CPU and BPU will throttle. When the temperature exceeds this point, the CPU and BPU will reduce their operating frequency to reduce power consumption. The CPU can go as low as 240MHz, while the BPU can go as low as 400MHz.

shutdown_temp

Shutdown temperature point of the system. If the temperature exceeds this point, the system will automatically shut down to protect the chip and hardware. It is recommended to perform heat dissipation treatment on the device to avoid system shutdown, as the device will not restart automatically after shutdown.

Option Filtering

Supports the use of [] to set filtering items. The filtering items need to be added at the end of the configuration file, because the part before the filtering item is considered 'all'. Once a filtering setting is added, the subsequent configurations belong to that filtering attribute until the end of the configuration file or another filtering item is set.

The supported filtering items are differentiated by hardware model, and the following filtering items are supported:

Filtering ItemCompatible Models
[all]All hardware, default
[rdkv1]RDK x3 v1.0, RDK x3 v1.1
[rdkv1.2]RDK x3 v1.2
[rdkv2]RDK x3 v2.1
[rdkmd]RDK x3 Module
[x5-rdk]RDK X5 V0.1

 

srpi-config user guide
Self-startup setting

COMPANY

  • About us
  • Team Style
  • Blog

LEARNING & EXPLORATION

  • Tutorials
  • Edge AI hardware
  • Educational robots
  • Embedded intelligent hardware

WHERE TO BUY

  • Yahboom Online Store
  • Amazon
  • Alibaba
  • AliExpress
  • Mercado

TECHNOLOGY SUPPORT

  • Email: support@yahboom.com

BE A DISTRIBUTOR

  • Email: sales@yahboom.com
QR Code

Copyright © 2017-2026 Yahboom. All Rights Reserved.

EN/中文