yahboom
HomeLearn
Solution
Blog
Online Store
About Us
EN/中文
RDK X5 Board📖
1.Introduction to RDK X5 board
  • 1.Introduction to RDK X5 board
  • 2.Write system file
  • 3.Hardware interface description
  • 4.Install case and other accessories
  • 5.Use 7-inch display
2.Basic settings course
  • 1.Network configuration
  • 2.Remote login
  • 3.Update system
  • 4.srpi-config user guide
  • 5.config. txt configuration file
  • 6.Self-startup setting
  • 7.RDK exclusive command usage
  • 8.Linux command usage
  • 9.GPIO readwrite operation
  • 10.Image classification algorithm
  • 11.Use USB camera
  • 12.Use MIPI camera
  • 13.Binocular camera depth algorithm
3.Basic development course
C language
  • 1.Camera image display
  • 2.Local save camera images
  • 3.Camera image encoding
  • 4.Video file decoding
  • 5.RTSP streaming decoding
  • 6.VPS scaling example
  • 7.Target detection algorithm-fcos
  • 8.Target detection algorithm-YOLOv5s
  • 9.Using CAN
Python
  • 0.ReadMe
  • 1.Using GPIO
  • 2.Using PWM
  • 3.Using Serial port
  • 4.Using I2C
  • 5.Using SPI
4.ROS expansion board
Python basic control
  • 0.Bind PCB port devices
  • 1.Install the Rosmaster driver library
  • 2.Buzzer whistle
  • 3.Control PWM servo
  • 4.RGB colorful light bar special effects display
  • 5.Control the forward and reverse rotation of the motor
  • 6.Control the movement of the robot
  • 7.Control Serial Servo
  • 8.Update firmware of expansion board
  • 9.Drive OLED
ROS2 robot control
  • 1.Function package usage process
  • 2.Robot information release
  • 3.Robot keyboard control
  • 4.Robot state estimation
  • 5.Robot calibration
  • 6.URDF model
5.T-MINI PLUS Lidar
  • 0.Preparation before use(Must read)
  • 1.Environment setup
  • 2.T-MINI PLUS LiDAR drive
  • 3.Handheld LiDAR mapping
6.AI VIEW Depth camera
AI VIEW Depth camera use
  • 1.AI VIEW Depth camera use
  • 2.Camera internal parameter calibration
  • 3.Color tracking
  • 4.KCF object tracking
Mediapipe functions
  • 1.Hand detection
  • 2.Attitude detection
  • 3.Overall inspection
  • 4.Facial detection
  • 5.Facial recognition
OpenCV series courses
  • 1.ROS+opencv application
  • 2.QR code creation and recognition
  • 3.AR vision
7.Offline AI model course
Offline-LLM-Text-Interaction
  • 0.AI-Large-Model-Image-Description
  • 1.AI-Large-Model-Environment-Deployment
  • 2.LLM-Conversation-Platform-Installation
  • 3.Meta-AI-Llama3.2-Model
  • 4.Alibaba-Cloud-Qwen3-Model
  • 5.Microsoft-Phi-4-mini-Model
  • 6.DeepSeek-DeepSeek-R1-Model
  • 7.Alibaba-Cloud-Qwen2.5vl-Vision-Multimodal-Model
  • 8.Google-Gemma3-Vision-Multimodal-Model
  • 9.Llava-Vision-Multimodal-Model
  • 10.MiniCPM-V-Vision-Multimodal-Model
  • 11.Multimodal-Text-to-Image-Application
  • 12.Multimodal-Video-Analysis-Application
  • 13.Multimodal-Visual-Understanding-Application
  • 14.Multimodal-Visual-Localization-Application
  • 15.Multimodal-Table-Scanning-Application
  • 16.Multimodal-Autonomous-Agent-Application
Offline-LLM-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-Voice-Interaction
  • 5.Multimodal-Text-to-Image-Application
  • 6.Multimodal-Video-Analysis-Application
  • 7.Multimodal-Visual-Localization-Application
  • 8.Multimodal-Table-Scanning-Application
  • 9.Multimodal-Autonomous-Agent-Application
  • 10.AI-Large-Model-Offline-Voice-Assistant
8.Online AI model course
Online-LLM-Text-Interaction
  • 1.OpenRouter-Large-Model-API-Aggregation-Platform
  • 2.Multimodal-Visual-Understanding-Application
  • 3.Multimodal-Visual-Localization-Application
  • 4.Multimodal-Table-Scanning-Application
  • 5.Multimodal-Autonomous-Agent-Application
Online-LLM-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-Voice-Interaction
  • 5.Multimodal-Visual-Localization-Application
  • 6.Multimodal-Table-Scanning-Application
  • 7.Multimodal-Autonomous-Agent-Application
  • 8.AI-Large-Model-Online-Voice-Assistant
9.YOLO26 tutorials
  • 01.YOLO environment construction
  • 02.CLI use
  • 03.Object detection
  • 04.Instance segmentation
  • 05.Pose estimation
  • 06.Image classification
  • 07.Oriented bounding box object detection
  • 08.Model conversion
  • 09.Dataset annotation
  • 10.Model training conversion
  • 11.Model prediction
10.OpenClaw Deployment and Basic Usagenew
  • 01.OpenClaw Quick Start
  • 02.OpenClaw Deployment
  • 03.OpenClaw WhatsApp Plugin Application
  • 04.OpenClaw WebChat Interaction
  • 05.OpenClaw TUI Interaction
  • 06.OpenClaw Tools Introduction
  • 07.OpenClawGate Gateway User Manual
  • 08.OpenClaw Features Overview
  • 09.OpenClawClawHub Introduction (Skill Installation)
  • 10.OpenClaw Application - File Management
  • 11.OpenClaw Application - Camera
  • 12.OpenClaw Application - Browser Control
  • 13.OpenClaw Application - Script Execution
  • 14.OpenClaw Application - AI Programming (Peripheral & GPIO Control)
  • 15.OpenClaw Application - Dedicated AI Assistant
  • 16.OpenClaw Web Search Capability Configuration
11.OpenClaw Advanced Developmentnew
1.Preparation Before Use
  • 01. Peripheral Hardware Configuration
  • 02. OpenClaw API-KEY Configuration
  • 03. OpenClaw Model Switching
  • 04. OpenClaw Prompts
  • 05. AI Voice Interaction Configuration
  • 06. Three Dialogue Configuration Tests
2.OpenClaw AI Programming Peripheral Control
  • 1. Servo Control
  • 2. RGB Strip
  • 3. OLED Display
  • 4. Temperature and Humidity Sensor
  • 5. Camera Application
  • 6. AI Script Peripheral Control
3.OpenClaw Peripheral Integration Applications
  • 1. Plant Care Assistant
  • 2. AI Calorie Estimation
  • 3. AI Rock Paper Scissors Game
  • 4. AI Pet
  • 5. AI Weather Station
  • 6. Temperature and Humidity Dashboard
  • 7. Scheduled Tasks
12.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
Download
  • System_File
  • Code
  • Tools
Download ZIP

Welcome to RDK X5 Board repository

6. AI Script Peripheral Control

OpenClaw AI Script Writing for Peripheral Control Tutorial

Before starting, please complete [01-Peripheral Hardware Configuration], [02-OpenClaw API-KEY Configuration], [03-OpenClaw Model Switching], [04-OpenClaw Prompts], [05-AI Voice Interaction Configuration], and [06-Three Conversation Scheme Configuration and Testing] in the Preparation for Use directory. If you are currently only using TUI / WhatsApp, you can skip 05 for now. This document assumes the basic environment is already prepared and only expands on the "Let AI generate independently runnable scripts" part.

1. Tutorial Objectives

This tutorial demonstrates through the method of "natural language generating hardware scripts" that OpenClaw is not only capable of directly controlling peripherals but can also help you save control logic into script files. After completing this tutorial, readers will be able to:

  • Understand the basic idea of OpenClaw generating hardware control scripts
  • Interact with OpenClaw via three methods: WhatsApp, TUI, and voice code
  • Generate four common types of scripts: RGB, Servo, Temperature/Humidity, OLED

2. Hardware Preparation

  • OpenClaw main board
  • Servo / RGB light strip / OLED / DHT temperature and humidity sensor
  • [Optional] AI voice module + speaker

Description:

  • This tutorial does not require all peripherals to be connected at once
  • Connect the corresponding hardware first for the type of script you plan to demonstrate

3. Software Preparation

Code entry points used in the tutorial

  • Script generation skill: /home/sunrise/.openclaw/workspace/skills/script-runner/SKILL.md
  • Default script save directory: /home/sunrise/Desktop/
  • Hardware command example directory: /home/sunrise/hardware_hal_demo/
  • Voice entry point: /home/sunrise/voice_to_openclaw/src/main.py

The core of this capability is not "executing an instant command," but letting OpenClaw help you generate an independently runnable Python script. According to existing skill conventions:

  • When users say "generate a script," "write a script," or "save to desktop," it will prioritize using script-runner
  • Hardware scripts default to using openclaw_lib
  • Default serial port is /dev/ttyS1
  • Default baud rate is 115200
  • Scripts are usually saved in /home/sunrise/Desktop/

You can understand it as two usage methods:

  • Method 1: Generate a script and run it immediately
  • Method 2: Only generate the script, save it to the desktop first, and modify or re-run it later

4. Testing Script Generation Capability

Before starting this tutorial, please complete a basic openclaw tui conversation self-check first; if you haven't done so, see [05-Three Conversation Scheme Configuration and Testing]. After confirming that OpenClaw can respond normally, proceed to the script generation specific test.

Enter the following command in the terminal to enter TUI:

openclaw tui

image-20260527164855215

It is recommended to start with the simplest script requirements, for example:

  • Help me write a script to make the RGB red light flash 5 times, save to desktop and run
  • Generate a script to read temperature and humidity, do not run it yet
  • Write a script to make servo 1 swing back and forth between 0, 90, and 180 degrees
  • Generate a script to display "Hello OpenClaw" on the OLED

5. Three Schemes for Conversing with OpenClaw

SchemeSuitable ScenariosAdvantagesSuggested Positioning
WhatsAppRemote requirement submission, classroom demonstrationCan directly describe "help me write what script"Used to demonstrate natural language generation capability
TUILocal debugging, verifying generation resultsEasiest to see script generation and execution returnPreferred debugging scheme
Voice CodeVoice interaction, complete AI experienceCan directly orally describe script requirementsAs a complete demonstration scheme

If you have selected the AI voice module + speaker, Feishu dialogue, tui, and WhatsApp dialogue need to broadcast the content of openclaw's reply. You can run the following program on the terminal. The AI voice module dialogue does not need to be run repeatedly

  • Modify whether to enable broadcast parameter
xxxxxxxxxx
/home/sunrise/voice_to_openclaw/.env
xxxxxxxxxx
ENABLE_TTS=true  # This parameter controls whether to broadcast. After modifying and saving, run the following program in the terminal.
  • Enter in terminal:
xxxxxxxxxx
cd ~/voice_to_openclaw
source .venv/bin/activate
python -m src.openclaw_session_tts

image-20260527162942497

5.1 WhatsApp Scheme

For WhatsApp access steps, please refer directly to [06-Three Conversation Scheme Configuration and Testing]. This section only retains conversation examples suitable for the script generation tutorial.

You can converse directly, for example:

  • Generate a script for all servos to swing left and right for 5 seconds and run it

image-20260529113931543

5.2 TUI Scheme

If you have completed the TUI self-check in Part 6, you can continue the conversation by entering the following command in the terminal:

xxxxxxxxxx
openclaw tui

Then you can directly input script requirements, for example:

  • Help me write a script to control RGB to become a blue breathing light and run for 10 seconds

    image-20260529114049521

5.3 Voice Code Scheme

xxxxxxxxxx
Requires selection of AI voice interaction module + speaker

For voice module installation, environment configuration, and basic wake-up process, please refer directly to [06-AI Voice Interaction Configuration]. After wake-up, you can directly speak control content, for example:

  • Write a script to display current temperature and humidity on the screen and run it

image-20260428190157864

6. Comprehensive Cases

Note: The following are conversation demonstrations conducted via openclaw tui. You can also choose WhatsApp or voice methods to complete them.

6.1 Case 1: RGB Flashing Script

Experiment Objective

Let OpenClaw generate a basic lighting script to verify the "script creation + peripheral execution" pipeline.

Effect Description

OpenClaw will organize your natural language requirements into a Python script. After the script is saved to the desktop, it can be run directly or kept for subsequent modification.

Example Instructions

  • Help me write a script to make the RGB red light flash 5 times
  • Generate a blue breathing light script, save to desktop and run
  • Write a script to make the RGB perform a rainbow light effect

6.2 Case 2: Servo Action Script

Experiment Objective

Generate a servo action script to solidify single-dialogue actions into a repeatedly runnable program.

Effect Description

This type of script is suitable for actions like "nodding," "shaking head," "swinging back and forth," or "returning to center," and is also suitable for subsequent expansion into classroom demonstrations or combination projects.

Example Instructions

  • Write a script to make servo 1 move back and forth between 0, 90, and 180 degrees
  • Generate a servo nodding script
  • Help me write a script to make all four servos return to 90 degrees together

6.3 Case 3: Temperature and Humidity Reading Script

Experiment Objective

Generate a script to read current temperature and humidity and output the results.

Effect Description

This type of script is suitable for sensor self-checks, data sampling, or subsequent log recording, and is also one of the most common types of basic scripts for making scheduled tasks later.

Example Instructions

  • Generate a script to read temperature and humidity and save it to the desktop
  • Help me write a script to print current temperature and humidity
  • Write a script to read DHT data once and run it

6.4 Case 4: OLED Display Script

Experiment Objective

Generate a script to display text or metric content on the OLED.

Effect Description

This case is suitable for making welcome pages, status pages, or simple dashboards, and is also the basis for subsequent linkage with capabilities such as temperature/humidity and cameras.

Example Instructions

  • Help me write a script to display "Hello OpenClaw" on the OLED
  • Generate a script to display temperature and humidity on the OLED
  • Write a script to display a page of simple status information

6.5 Case 5: Combination Script

Experiment Objective

Let OpenClaw generate a comprehensive script containing multiple peripheral actions at once.

Effect Description

This type of script can string together "reading sensors," "displaying on OLED," "controlling RGB," and "driving servos," suitable for transitioning from single-peripheral control to small project scripts.

Example Instructions

  • Write a comprehensive script: read temperature and humidity then display on OLED
  • Generate a script: first light up green light, then make the servo turn to 90 degrees
  • Help me write a script: light up red light and prompt on OLED if temperature is too high

 

Camera Application
Plant Care Assistant

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