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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

4)URDF model

6. Robot URDF Model

1. Program Function Description

After the program starts, it will display the URDF model file of the vehicle model in rviz. There will also be a GUI debugging tool window; by sliding the progress bar, the model file can be animated.

2. Program Code Reference Path

The source code for this function is located at:

xxxxxxxxxx
/root/yahboomcar_ros2_ws/yahboomcar_ws/src/yahboomcar_description/yahboomcar_description/launch/display.launch.py #docker container
/home/yahboom/yahboomcar_ws/src/yahboomcar_description/launch/display.launch.py #Virtual Machine

The path to the URDF model file is::

xxxxxxxxxx
/root/yahboomcar_ros2_ws/yahboomcar_ws/src/yahboomcar_description/yahboomcar_description/urdf/muto_des.urdf #docker container
/home/yahboom/yahboomcar_ws/src/yahboomcar_description/urdf/muto_des.urdf #Virtual Machine

 

3. Program Startup

After entering the Docker container, enter the following in the terminal, depending on the actual car model:

xxxxxxxxxx
ros2 launch yahboomcar_description display.launch.py

Alternatively, you can choose to start the program on a virtual machine; the command is the same as above.

image-20230809091359642

 

 

You can view the TF tree by entering the following in the Docker terminal:

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ros2 run tf2_tools view_frames

After execution, a timestamped PDF file will be generated in the mounted shared directory, for example, frames_2026-08-18_04.12.39.pdf.

The host machine can directly access this file by executing the following command in the host machine terminal to open and view it:

xxxxxxxxxx
evince frames_2026-08-18_04.12.39.pdf

image-20230809091541628

4. Introduction to URDF

URDF, short for Unified Robot Description Format, is a robot model file described in XML format, similar to D-H parameters.

xxxxxxxxxx
<?xml version="1.0" encoding="utf-8"?>
<robot name="yahboomcar">
</robot>

The first line is a required field for the XML file, describing the XML version information.

The second line describes the current robot name; all information about the current robot is contained within the robot tag.

4.1 Components

  • Link, a connecting rod, can be imagined as a human arm.

  • Joint, a joint, can be imagined as a human elbow joint.

Relationship between link and joint: Two links are connected by a joint, like an arm with a forearm (link) and upper arm (link) connected by an elbow joint (joint).

4.1.1 Link
  1. Introduction

In the URDF descriptive language, a link is used to describe physical properties:

  • Describes visual display, <visual> tag.

  • Describes collision properties, <collision> tag.

  • Describes physical inertia, <inertial> tag is less commonly used.

Links can also describe link dimensions, color, shape, inertial matrix, collision properties, etc. Each link becomes a coordinate system.

  1. Example Code

xxxxxxxxxx
 <link
    name="base_link">
    <inertial>
      <origin
        xyz="-0.00848711599566719 0.000523834964811633 -0.00410168576849108"
        rpy="0 0 0" />
      <mass
        value="0.53214037432126" />
      <inertia
        ixx="0.000304665507474336"
        ixy="7.99736134132429E-07"
        ixz="8.57646538118724E-06"
        iyy="0.000837714471641479"
        iyz="-9.52196363004723E-07"
        izz="0.00102369759156651" />
    </inertial>
    <visual>
      <origin
        xyz="0 0 0"
        rpy="0 0 0" />
      <geometry>
        <mesh
          filename="package://yahboomcar_description/meshes/base_link.STL" />
      </geometry>
      <material
        name="">
        <color
          rgba="1 1 1 1" />
      </material>
    </visual>
    <collision>
      <origin
        xyz="0 0 0"
        rpy="0 0 0" />
      <geometry>
        <mesh
          filename="package://yahboomcar_description/meshes/base_link.STL" />
      </geometry>
    </collision>
  </link>
  1. Tag Descriptions

  • origin Describes pose information; the xyz attribute describes the coordinates in the environment, and the rpy attribute describes the pose itself.

  • mess Describes the quality of the link.

  • inertia Inertial frame of reference. Due to the symmetry of the rotational inertia matrix, only six upper triangular elements ixx, ixy, ixz, iyy, iyz, and izz are needed as attributes.

  • geometry The tag describes the shape; the mesh attribute is mainly used to load texture files, and the filename attribute is the file path to the texture.

    xxxxxxxxxx
    <box size="1 2 3"/> #The box is a container whose length, width, and height are described by the size attribute.
    <cylinder length="1.6" radius="0.5"/> #The cylinder is cylindrical, with its height described by the `length` property and its radius described by the `radius` property.
    <sphere radius="1"/> #The sphere is spherical, and its radius is described by the `radius` property.
  • material

The <material> tag describes the material; the name attribute is required, can be empty, and can be repeated. The rgba attribute in the <color> tag describes red, green, blue, and transparency, separated by spaces. The color range is [0-1].

4.1.2 Joints

  1. Introduction

Describes the relationship between two joints, their movement position and velocity limitations, and kinematic and dynamic properties.

Joint Types:

  • fixed: Fixed joint. Movement is not allowed; it serves as a connection.

  • continuous: Rotational joint. Can rotate continuously without rotation angle limitations.

  • revolute: Rotational joint. Similar to continuous, but with rotation angle limitations.

  • prismatic: Sliding joint. Moves along a certain axis; position is limited.

  • floating: Floating joint. Has six degrees of freedom (3T3R).

  • planar: Planar joint. Allows translation or rotation above a plane.

  1. Example Code

xxxxxxxxxx
 <joint
    name="camera_Joint"
    type="fixed">
    <origin
      xyz="0.0710921136864663 0 0.095735206628551"
      rpy="0 0 0" />
    <parent
      link="base_link" />
    <child
      link="camera_link" />
    <axis
      xyz="0 0 0" />
  </joint>

In the joint tag, the name attribute is required, describing the name of the joint and ensuring it is unique.

In the joint tag, the type attribute corresponds to one of the six major joint types.

  1. Tag Descriptions

  • origin This sub-tag indicates the relative position of the rotational joint to the coordinate system of the parent.

  • parent, child The parent and child sub-tags represent two links to be connected; the parent is the reference point, and the child rotates around the parent.

  • axis This sub-tag indicates the axis (xyz) around which the link corresponding to the child rotates and the amount of rotation around a fixed axis.

  • limit This sub-tag primarily restricts the child. The lower and upper attributes limit the range of radians of rotation, the effort attribute limits the range of forces applied during rotation (positive or negative values ​​in Newtons or N), and the velocity attribute limits the speed of rotation in meters per second or m/s.

  • mimic Describes the relationship between this joint and existing joints.

  • safety_controller Describes the safety controller parameters. Protecting the movement of robot joints.

Robot control
Python usage

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