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Muto RS Robot📖
01.Introduction to Muto Robot
  • 1.Accessories introduction
  • 2.Precautions for battery
  • 3.FAQ
  • 4.MutoRS Study Guide
  • 5.Quick Start Guide
02.Assembly and write system
  • 1.Raspberry Pi write system
  • 2.Assembly video
03.Remote control course
  • 1.Open and Close APP Control Program
  • 2.Mobile APP Remote Control
  • 3.USB Wireless Controller Remote Control
  • 4.Web Host Computer Remote Control
04.Remote login operation
  • 1.SSH and VNC remote login
  • 2.Jupyter Lab login and running example code
05.AI Large Model Basicsnew
  • 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
06.AI Large Model Developmentnew
  • 1.Register a model service provider account
  • 2.Configure API-KEY
  • 3.Introduction to Dify
  • 4.Dify Basic function
  • 5.AI large model development - Chatbot
  • 6.Deploy the RAG knowledge base
  • 7.RAG knowledge base + Chatbot
  • 8.AI agent workflow
  • 9.Custom wake-up response
  • 10.Core module testing tools
07.AI Large Model (Text Version)new
  • 0.MutoRS Model Setup & Details
  • 1.Semantic Understanding, Instruction Following
  • 2.Multimodal Visual Understanding
  • 3.Multimodal Visual Understanding + Depth Camera Distance Q&A
  • 4.Multimodal Visual Understanding + Visual Line Following
  • 5.Multimodal Visual Understanding + Visual Following
  • 6.Multimodal Visual Understanding + SLAM Navigation
  • 7.Multimodal Visual Understanding + SLAM Navigation + Visual Line Following
  • 8.Intention Estimation + Multimodal Visual Understanding + SLAM Navigation + Visual Functions
08.AI Large Model (Voice Version)new
  • 0.MutoRS Model Setup & Details
  • 1.Semantic Understanding, Instruction Following
  • 2.Multimodal Visual Understanding
  • 3.Multimodal Visual Understanding + Depth Camera Distance Q&A
  • 4.Multimodal Visual Understanding + Visual Line Following
  • 5.Multimodal Visual Understanding + Visual Following
  • 6.Multimodal Visual Understanding + SLAM Navigation
  • 7.Multimodal Visual Understanding + SLAM Navigation + Visual Line Following
  • 8.Intention Estimation + Multimodal Visual Understanding + SLAM Navigation + Visual Functions
09.AI Large Model (Fun Applications)new
  • 1.Versatile performer
  • 2.Action Imitation
  • 3.Problem Solving Expert
  • 4.Exploring Unfamiliar Environments
10.Robot basic course
  • 1)Control buzzer
  • 2)Control PWM servo
  • 3)Control bus servo
  • 4)Robot forward and backward
  • 5)Robot move left and right
  • 6)Robot rotate left and right
  • 7)Control height
  • 8)Control head
  • 9)Action group performance
  • 10)Read data
  • 11)Host computer control
  • 12)Camera driver
11.Voice control coursenew
  • 1.Control Muto motion
  • 2.Control Muto tracking
  • 3.Control Muto color recognition
  • 4.Control Muto color tracking
  • 5.Control multi-point navigation
12.AI vision course
  • 0)Color HSV Calibration
  • 1)Color recognition
  • 2)Color following
  • 3)Color recognition action group
  • 4)Face detection
  • 5)QR code recognition
  • 6)QR code instructions
  • 7)Visual line following
  • 8)Motion learning
  • 9)Synchronous action teaching
13.Mediapipe course
  • 1)Hand detection
  • 2)Attitude detection
  • 3)Overall inspection
  • 4)Face detection
  • 5)Face recognition
  • 6)Face effects
  • 7)Face detection
  • 8)3D object recognition
  • 9)Brush
  • 10)Finger control
  • 11)Gesture recognition
14.Depth camera course
  • 1)Depth camera use
  • 2)Internal reference calibration
  • 3)Web page real-time monitoring
  • 4)ROS+opencv application
  • 5)QR code creation and recognition
  • 6)AR vision
  • 7)Tracking
  • 8)Obstacle recognition
  • 9)Color tracking
  • 10)KCF object tracking
  • 11)RTAB-Map 3D mapping navigation
15.Lidar course
  • 1)About lidar
  • 2)Lidar obstacle avoidance
  • 3)Lidar tracking
  • 4)Lidar guard
  • 5)Patrol
  • 6)SLAM overview
  • 7)ROS2_Gmapping mapping algorithm
  • 8)ROS2_Cartographer mapping algorithm
  • 9)About ROS2 Navigation
  • 10)ROS2 navigation and avoid
  • 11) APP mapping
  • 12)APP navigation
16.Road network navigationnew
  • 1.Road network planning and navigation environment deployment
  • 2.Constructing pose maps
  • 3.Road network annotation
  • 4.Inter-road network planning and navigation
  • 5.Road network navigation under arbitrary poses
  • 6.Path replanning
17.Multi-machine control course
  • 1)Multi-vehicle control
  • 2)Multi-vehicle navigation
18.Robot chassis control
  • 1)Hexapod gait and kinematics
  • 2)Robot information release
  • 3)Robot control
  • 4)URDF model
19.Raspberry Pi course
  • 1)Python usage
  • 2)Use APT to install Python packages
  • 3)Python virtual environment
  • 4)GPIO Zero
  • 5)Pin output high and low levels
  • 6)Pin reads high and low levels
  • 7)Pin output PWM
  • 8)Serial communication
  • 9)I2C communication
20.OpenCV course
  • 1)Introduction to Open Source CV
  • 2)Image reading and display
  • 3)Picture writing
  • 4)Image Quality
  • 5)Pixel operations
  • 6)Image zoom
  • 7)Picture cut
  • 8)Picture pan
  • 9)Picture mirroring
  • 10)Affine transformation
  • 11)Picture rotation
  • 12)perspective transformation
  • 13)Grayscale processing
  • 14)Binary image
  • 15)Edge green detection
  • 16)Line segment drawing
  • 17)Rectangular circle drawing
  • 18)Text and picture drawing
21.Docker course
  • 1)Overview and installation
  • 2)Common commands
  • 3)Deeply understand and publish images
  • 4)Hardware interaction and data processing
  • 5)Enter docker container
  • 6)Robot development environment construction
  • 7)Update docker images
22.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
23.Linux basic 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)Driver library and communication
  • 10)Static IP and hotspot mode
  • 11)Bind device ID
  • 12)Capacity expansion and resource allocation
  • 13)Back up system image
  • 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
24.Mainboard Large Model Course
Offline large model (Text Interaction)
  • 0. AI large model image description
  • 1. Deployment of large AI model environments
  • 2. Installation of large model dialogue platform
  • 3. Meta AI Llama 3.2 model
  • 4. Alibaba Cloud Qwen3 Model
  • 5. Microsoft Phi-4-mini model
  • 6. DeepSeek DeepSeek-R1 model
  • 7. Alibaba Cloud Qwen2.5vl Visual Multimodal Large Model
  • 8. Google Gemma3 Visual Multimodal Large Model
  • 9. Llava Visual Multimodal Large Model
  • 10. MiniCPM-V Visual Multimodal Large Model
  • 11. Multimodal Visual Understanding Applications
  • 12. Multimodal Text-Based Image Application
  • 13. Multimodal Video Analysis Application
  • 14. Multimodal visual positioning applications
  • 15. Multimodal table scanning application
  • 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
Download
  • RemoteCtrl_APP(iOS/Android)
  • Mapping_APP(iOS_Android)
  • SystemFile_For_RPi5
  • SystemFile_Jetson
  • SystemFile_RPi
  • Code
  • VM File
  • Hardware Info
  • Instruction Manual
  • Jetson_Boot_USB.tar.gz
  • ROS2_Basic_VM
Download ZIP

Welcome to Muto RS Robot repository

2.Mobile APP Remote Control

Mobile APP Remote Control

Mobile APP Remote Control1. Scan QR Code to Install APP2. Start the Robot3. Connect APP to RobotSelect DeviceEstablish Network Connection4. APP Function IntroductionRemote ControlPerformanceFPV ControlData MonitoringRobot Calibration

1. Scan QR Code to Install APP

For Android users, please open the Google Play Store and search for "YahboomRobot", or open your mobile browser, scan the QR code below to download and install the "YahboomRobot" APP.

For iOS users, please open the App Store and search for "YahboomRobot", or use a QR code scanner to scan the QR code below to download and install the "YahboomRobot" APP.

If the latest version of the "YahboomRobot" APP is already installed on your phone, you do not need to install it again.

app_img

 

2. Start the Robot

The TF card provided with the product contains the image system by default. Insert the TF card into the motherboard's TF card slot, and after assembling the Muto robot, it can be turned on normally without reconfiguring the image.

Press the switch button at the tail of the Muto robot. The switch is a self-locking type, meaning it does not spring back after being pressed, and the robot remains continuously powered on, with the green light on the switch staying lit. The Muto robot will stand up. Wait for about 1.5 minutes for the system to start. After the system starts, the buzzer will beep three times. At this point, you can see the information displayed on the OLED screen.

Raspberry Pi system username: pi password: yahboom

 

3. Connect APP to Robot

The factory system comes with a hotspot signal "Muto_WIFI" with the password "12345678". You can first connect your phone to the robot's hotspot to form a local area network. Alternatively, you can connect both the robot and your phone to the same router to form a local area network.

Select Device

When you first open the "YahboomRobot" APP, you need to select the "Muto" device under "ROS Robot" according to the model of the robot you purchased.

image-20230609105414033

Establish Network Connection

Enter the IP address displayed on the robot's OLED screen in the IP field, enter 6000 in the Port field, and 6500 in the Video field. Click "Connect". After a successful connection, it will automatically jump to the main control interface.

image-20230608145733796

Note: Before connecting the device, please ensure that your phone is connected to the robot's hotspot, or that both the phone and the robot are connected to the same router. Also, make sure that the App control program has been started (the factory system starts the App control program by default on boot).

 

4. APP Function Introduction

The main interface of the Muto robot's APP is divided into five modules, each corresponding to different functions.

image-20230609111215877

Remote Control

The function of the "Remote Control" interface is shown below.

image-20230823193317451

Part 1. Speed: Controls the robot's movement speed. You can choose low, medium, or high speed.

Part 2. Height: Controls the robot's body height. You can choose low, medium, or high.

Part 3. Step Width: Controls the width of one step of the robot.

Part 4. Control Method: On the left, select button control: up for forward, down for backward, left for strafe left, right for strafe right, and the middle button to stop. On the right, select joystick control: up for forward, down for backward, left to turn left, right to turn right, and the center to stop.

Part 5. Up/Down: Controls the robot to look up/down.

Part 6. Left/Right Spin: Controls the robot to turn left/right in place.

 

Performance

The function of the "Performance" interface is shown below.

image-20230728095709597

Part 1. Eight preset actions, each runs once per click.

Part 2. Reset: Resets the robot to its default posture.

 

FPV Control

image-20230608151822589

Part 1. Hide: Hides the controls, keeping the full-screen camera view. Click again to show the controls.

Part 2. Joystick: Controls the robot's movement.

Part 3. X/Y Axis Servos: Controls the rotation of the camera servo gimbal.

Note: The RS version lacks servos, so this function is not available.

 

Data Monitoring

The function of the "Data Monitoring" interface is shown below.

image-20230608153246936

Part 1. CPU Usage: Displays the CPU usage of the mainboard.

Part 2. CPU Temperature: Displays the CPU temperature of the mainboard.

Part 3. Memory Remaining: Displays the amount of remaining system memory on the mainboard in GB.

Part 4. Total Memory: Displays the total system memory on the mainboard in GB.

Part 5. Battery Power: Displays the robot's battery voltage in volts.

 

Robot Calibration

Note: The robot has been calibrated at the factory and does not need to be calibrated under normal circumstances. As the robot calibration function is special, improper operation may cause issues such as unsmooth robot movement.

Before entering the robot calibration interface, the APP will display the following message. Please click "Next".

image-20230608154409693

The "Robot Calibration" interface is shown below.

image-20230608155645747

As shown in the figure above, the image on the left represents the selected leg of the robot. If the icon is lit, it is selected. The save button at the bottom is used to save the data to the robot's baseboard. The three sliders on the right control the three servos of the selected leg.

Please place the Muto robot flat on the ground, facing you. If you see a leg suspended in the air, select the corresponding leg icon (if the icon is lit, it is selected, and the values of the three sliders on the right are all 0), and click the save button to clear the previously saved data. Then, adjust the three sliders on the right until the problematic leg touches the ground. Finally, click the save button again to save the data to the robot's servos.

Open and Close APP Control Program
USB Wireless Controller Remote Control

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