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Jetson AGX Thor📖
1.Get started
  • 01.Learning Route
  • 02.Getting Started Quickly
2.Jetson basic course
  • 01.Jetson board introduction
  • 02.Flashing a Pure Jetson System via SDK
  • 03.Flashing a Pure Jetson System via USB Drive
  • 04.Flashing the Jetson Bootloader using L4T
  • 05.Replacing the SSD
  • 06.Install Jetpack environment
  • 07.Backup SSD system
  • 08.Restore factory image system
  • 09.SSD expansion
  • 10.SSD Speed Test
3.Basic setting course
  • 01.Basic knowledge
  • 02.Network configuration
  • 03.SSH remote login
  • 04.VNC remote control
  • 05.Remote file transfer
  • 06.Jtop tool
  • 07.Exchange space expansion
  • 08.Use VSCode
  • 09.Use VMware
  • 10.Change screen resolution
  • 11.Virtual Desktop
  • 12.Set root user password
  • 13.Configure sudo passwordless operation
  • 14.Managing custom services
  • 15.View system version information
4.OpenCV basic course
  • 01.Image reading
  • 02.Image saving
  • 03.Image modification
  • 04.Image scaling
  • 05.Image cropping
  • 06.Image translation
  • 07.Image mirroring
  • 08.Image grayscale conversion
  • 09.Image binarization
  • 10.Image edge detection
  • 11.Add line segments
  • 12.Add rectangles
  • 13.Add circular shape
  • 14.Add ellipses
  • 15.Add polygons
  • 16.Add Text
5.Vision basic course
  • 01.USB camera preview
  • 02.Use Jupyter Lab
  • 03.Use JetCam
6.Vision advanced course
01.Environment construction
  • 01.TensorFlow
  • 02.PyTorch
  • 03.Torchvision
  • 04.Torchaudio
02.DeepStream development
  • 01.DeepStream environment
  • 02.Four types of detection(traffic)
03.YOLO26 development
  • 01.YOLO Environment Setup
  • 02.CLI Usage
  • 03.Object Detection
  • 04.Instance Segmentation
  • 05.Pose Estimation
  • 06.Image Classification
  • 07.Oriented Bounding Boxes Object Detection
  • 08.Model Conversion
  • 09.Dataset Annotation
  • 10.Model Training_Conversion
  • 11.Model Prediction
04.Mediapipe development
  • 01.Mediapipe environment
  • 02.Hand detection
  • 03.Face detection
  • 04.Face effects
  • 05.3D object recognition
  • 06.Virtual brush
  • 07.Gesture recognition
  • 08.Finger control
  • 09.Posture estimation
  • 10.Face mask
  • 11.Overall detection
  • 12.Green scene removal(Human)
05.QR code recognition
  • 01.Barcode Recognition
  • 02.QR Code Recognition
  • 03.Machine Code Recognition
  • 04.Handwritten Digit Recognition
7.Docker basic course
  • 01.Docker introduction
  • 02.Docker installation
  • 03.Docker command
  • 04.Docker usage
  • 05.Docker interaction
8.ROS2-jazzy
1.ROS2 basic course
  • 1.Introduction to ROS2
  • 2.ROS2 install Jazzy
  • 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
2.ROS2 vision course
  • 01.Camera preview (USB)
  • 02.Camera calibration (USB)
  • 03.AR vision (USB)
9.Offline AI model course
Offline large model (Text Interaction)
  • 1.Al large model environment deployment
  • 2.Install large model dialogue platform
  • 3.Meta Al Llama3.2 model
  • 4.Alibaba Cloud Qwen3 model
  • 5.Microsoft Phi-4-mini model
  • 6.DeepSeek DeepSeek-R1 model
  • 7.Alibaba Cloud Qwen2.5v visual multimodal large model
  • 8.Google Gemma3 visual multimodal large model
  • 9.Lava visual multimodal large model
  • 10.MiniCPM-V visual multimodal large model
  • 11.Multimodal visual understand application
  • 12.Multimodal text image application
  • 13.Multimodal video analysis application
  • 14.Multi module visual position application
  • 15.Multimodal table scanning application
  • 16.Multimodal autonomous agent application
Offline large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Offline speech to text (ASR)
  • 2.Offline text to speech (TTS)
  • 3.AI large model voice interaction
  • 4.Multimodal visual understand speech interaction
  • 5.Multimodal text and graphics application
  • 6.Multimodal video analysis application
  • 7.Multi module visual position application
  • 8.Multimodal table scanning application
  • 9.Multimodal autonomous proxy application
  • 10.AI large model offline voice assistant
10.Online AI model course
Online large model (Text Interaction)
  • 1.OpenRouter large model API aggregation platform
  • 2.Multimodal Video Analysis Applications
  • 3.Multimodal visual localization application
  • 4.Multimodal table scanning application
  • 5.Multimodal autonomous proxy application
Online large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Online speech to text (ASR)
  • 2.Online text to speech (TTS)
  • 3.AI large model voice interaction
  • 4.Multimodal visual understand speech interaction
  • 5.Multi module visual position application
  • 6.Multimodal table scanning application
  • 7.Multimodal autonomous proxy application
  • 8.AI large model offline voice assistant
11.Generative AI Applications
12.OpenClaw Advanced Development
  • 00.OpenClaw Quick Start on Jetson Platform
  • 01.OpenClaw Installation
  • 02.OpenClaw Online Platform Deployment
  • 03.OpenClaw Local Model Deployment
  • 04.OpenClaw TUI Interaction
  • 05.OpenClaw WebChat Interaction
  • 06.OpenClaw Tools Introduction
  • 07.OpenClawGate Gateway User Manual
  • 08.OpenClaw Features Overview
  • 09.OpenClawClawHub Introduction (Skill Installation)
  • 10. OpenClaw Switching Models
  • 11.OpenClaw Application - File Management
  • 12.OpenClaw Application - Camera
  • 13.OpenClaw Application - Browser Control
  • 14.OpenClaw Application - Script Execution
  • 15.OpenClaw Application - AI Programming
  • 16.OpenClaw Application - Dedicated AI Assistant
  • 17.OpenClaw WhatsApp Plugin Application
  • 18.OpenClaw Voice Assistant
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Welcome to Jetson AGX Thor repository

10.AI large model offline voice assistant

10.AI large model offline voice assistant

10.AI large model offline voice assistant1. Offline Voice Configuration2. Create a Startup Service (Systemd)2.1 Create a Startup Script2.2 Creating the Startup File3. Startup Management3.1 Disabling the Startup Program3.2 Enabling the Startup Program

1. Offline Voice Configuration

Before setting up automatic startup, we must ensure that the program itself can operate independently in an offline state. This requires modifying the configuration file.

  1. Locate the Configuration File: In your project code, find and open the configuration file:

    config/yahboom.yaml

  2. Modify Configuration Parameters: Please check the following parameters in the file and ensure that their values ​​match those shown below. If the parameters do not exist, add them.

    ​x
    asr:                                    #Voice node parameters
      ros__parameters:
        VAD_MODE: 2                         #VAD sensitivity
        sample_rate: 16000                  #ASR audio sampling rate
        frame_duration_ms:  30              #VAD frame size in milliseconds
        use_oline_asr: False                #Whether to use online ASR recognition (True for online, False for offline)
        mic_serial_port: "/dev/ttyUSB0"     #Microphone serial port alias
        mic_index: 0                        #Microphone index
        language: 'en'                      #ASR language
        regional_setting : "international"  #international:International Edition  China:China internal version
    ​
    model_service:                          #Model server node parameters
      ros__parameters:
        language: 'en'                      #Large Model Interface Language
        useolinetts: False                   #Whether to use online speech synthesis (True to use online, False to use offline)
    ​
         # Large model configuration
        # llm_platform: 'ollama'              # Optional platforms: 'ollama', 'tongyi', 'spark', 'qianfan', 'openrouter'
        llm_platform: 'ollama'              # Currently selected large model platform
        regional_setting : "international" 
    ​
    • use_oline_asr and useolinetts must be set to False.
    • llm_platform must be set to ollama.

    This setting will make everything offline.

  3. Save the file and recompile the project to apply the changes:

    xxxxxxxxxx
    cd ~/yahboom_ws
    colcon build
    source install/setup.bash

After completing this step, the program is already a purely offline voice service.

2. Create a Startup Service (Systemd)

Now, we will create a systemd service to automatically run largemodel_control.launch.py at system startup.

2.1 Create a Startup Script

To ensure systemd can properly load the ROS2 environment, it's best to create a simple bash script to encapsulate our startup commands.

  1. Create the script file:

    In the directory (~/yahboom_ws/src/largemodel/), create a file named start_largemodel.sh.

    xxxxxxxxxx
    vim ~/yahboom_ws/src/largemodel/start_largemodel.sh
  2. Write script content: Copy and paste the following content into the script file.

    xxxxxxxxxx
    #!/bin/bash
    ​
    sleep 10
    gnome-terminal -- bash -c "export RUN_PROGRAMS='ros2 launch largemodel largemodel_control.launch.py';exec bash"

    IMPORTANT: Please make sure to replace /home/sunrise/ in the script with your own user home directory path.

  3. Save and exit

  4. Give the script execution permissions:

    xxxxxxxxxx
    chmod +x ~/yahboom_ws/src/largemodel/start_largemodel.sh
  5. Add Execution Command to .bashrc

Open ~/.bashrc.

xxxxxxxxxx
vim ~/.bashrc

Copy the following content to the very bottom of the file.

xxxxxxxxxx
eval $RUN_PROGRAMS

Save and exit.

 

2.2 Creating the Startup File

  1. Open the system terminal, then create and edit the start_largemodel.desktop startup file:
xxxxxxxxxx
vim ~/.config/autostart/start_largemodel.desktop
  1. Copy the following content into start_largemodel.desktop, then save and exit.
xxxxxxxxxx
[Desktop Entry]
Type=Application
Exec=sh /home/jetson/yahboom_ws/src/largemodel/start_largemodel.sh
Hidden=false
NoDisplay=false
X-GNOME-Autostart-enabled=true
Name[en_US]=start_largemodel
Name=start_largemodel
Comment[en_US]=
Comment=

image-20260407171543457

In the above configuration: Exec specifies the command used to execute the script; X-GNOME-Autostart-enabled determines whether the program launches automatically upon system startup; and Name specifies the display name.

Restart the system, and the startup program will automatically launch upon boot.

xxxxxxxxxx
sudo reboot

 

3. Startup Management

After restarting the system, a system terminal window will pop up, automatically running the voice assistant program. If you need to temporarily exit the program, press the [Ctrl+C] keys, and then close the terminal window.

3.1 Disabling the Startup Program

If you no longer require the program to launch automatically upon system startup, edit the start_largemodel.desktop startup file. Change the X-GNOME-Autostart-enabled parameter to false, then save and exit. This ensures that the program will not launch the next time the system starts up.

xxxxxxxxxx
vim ~/.config/autostart/start_largemodel.desktop

Example Content:

xxxxxxxxxx
[Desktop Entry]
Type=Application
Exec=sh /home/jetson/yahboom_ws/src/largemodel/start_largemodel.sh
Hidden=false
NoDisplay=false
X-GNOME-Autostart-enabled=false
Name[en_US]=start_largemodel
Name=start_largemodel
Comment[en_US]=
Comment=

3.2 Enabling the Startup Program

If you require the program to launch automatically upon system startup, edit the start_largemodel.desktop startup file. Change the X-GNOME-Autostart-enabled parameter to true, then save and exit. Upon restarting the system, the program will launch automatically.

xxxxxxxxxx
vim ~/.config/autostart/start_largemodel.desktop

Example Content:

xxxxxxxxxx
[Desktop Entry]
Type=Application
Exec=sh /home/jetson/yahboom_ws/src/largemodel/start_largemodel.sh
Hidden=false
NoDisplay=false
X-GNOME-Autostart-enabled=true
Name[en_US]=start_largemodel
Name=start_largemodel
Comment[en_US]=
Comment=
​

 

 

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