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Jetson Orin NX SUPER📖
01.Get started
  • 01. Learning route
  • 02. Get started quickly
  • 03. System Update Notes
  • 04.Disabling automatic updates and troubleshooting issues
02.Jetson basic course
  • 01.Jetson board introduction
  • 02.Write Jetson original system
  • 03.Installing Jetson environment
  • 04.Backup SSD system
  • 05.Restore initial image system
  • 06.Upgrade to SUPER version
  • 07.Write SUPER boot
  • 08.SSD expansion
  • 09.Jetpack old system upgraded to Yahboom SUPER factory system
  • 10.Write the system onto your own solid-state drive
03.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
04.GPIO control course
  • 01.GPIO description
  • 02.GPIO library installation
  • 03.GPIO reading
  • 04.GPIO output
  • 05.Serial communication
  • 06.I2C communication
05.Vision basic course
  • 01.CSI camera preview
  • 02.USB camera preview
  • 03.Use Jupyter Lab
  • 04.Use JetCam
06.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
  • 17.Preview USB camera image
  • 18.Preview CSI camera image
07.Vision advanced course
01.Environment construction
  • 01.TensorFlow
  • 02.PyTorch
  • 03.Torchvision
02.DeepStream development
  • 01.DeepStream environment
  • 02.Four types of detection(traffic)
03.YOLO11 development
  • 01.YOLO environment construction
  • 02.CLI use
  • 03.Object detection
  • 04.Instance segmentation
  • 05.Pose estimation
  • 06.Image classification
  • 07.Oriented 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.QR code recognition
06.YOLO26 development
  • 01.YOLO environment constructionnew
  • 02.CLI usenew
  • 03.Object detectionnew
  • 04.Instance segmentationnew
  • 05.Pose estimationnew
  • 06.Image classificationnew
  • 07.Oriented object detectionnew
  • 08.Model conversionnew
  • 09.Dataset annotationnew
  • 10.Model training conversionnew
  • 11.Model predictionnew
08.Docker basic course
  • 01.Docker introduction
  • 02.Docker installation
  • 03.Docker command
  • 04.Docker usage
  • 05.Docker interaction
09.ROS1-Melodic
01.ROS1 basic course
  • 01. Introduction to ROS
  • 02. Project file structure
  • 03. Common commands and tools
  • 04. Publisher
  • 05. Subscribers
  • 06. Customize topic messages and use
  • 07. Client
  • 08. Server
  • 09. Customize service messages and usage
  • 10. TF release and monitoring
02.ROS1 vision course
  • 00.Must read before running
  • 01.Camera preview
  • 02.QR code
  • 03.Human posture estimation
  • 04.Target detection
  • 05.AR vision
  • 06.Opencv application
  • 07.ROS+Opencv basics
  • 08.Mediapipe development
10.ROS2-Humble
01.ROS2 basic course
  • 01.Introduction to ROS2
  • 02.ROS2 install Humble
  • 03.ROS2 development environment
  • 04.ROS2 workspace
  • 05.ROS2 function package
  • 06.ROS2 node
  • 07.ROS2 topic communication
  • 08.ROS2 service communication
  • 09.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
02.ROS2 vision course
  • 01.Camera preview (USB)
  • 02.Camera preview (CSI)
  • 03.Camera calibration (USB)
  • 04.Camera calibration (CSI)
  • 05.AR vision (USB)
  • 06.AR vision (CSI)
11.Offline AI model coursenew
Offline large model (Text Interaction)
  • 1.AI 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
12.Online AI model coursenew
Online large model (Text Interaction)
  • 1.OpenRouter large model API aggregation platform
  • 2.Multimodal visual understand application
  • 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 online voice assistant
13.NVIDIA lsaac ROS coursenew
  • 1.Build lsaac ROS environment
  • 2.Deep segmentation
  • 3.DNN stereoscopic depth
  • 4.Free space segmentation
  • 5.Image distortion processing
  • 6.Image segmentation
  • 7.3D scene reconstruction and mapping
  • 8.Object detection
  • 9.3D attitude estimation
  • 10.Visual SLAM
14.OpenClaw Deployment and Basic Usagenew
  • 01.OpenClaw Quick Start on Jetson Platform
  • 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.OpenClawHub 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
15.OpenClaw Advanced Developmentnew
1.Preparation Before Use
  • 1. Peripheral Hardware Configuration
  • 2. OpenClaw API Key Configuration
  • 3. OpenClaw Model Switching
  • 4. OpenClaw Prompts
  • 5. AI Voice Interaction Configuration
  • 6. 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
Download
  • System_File
  • VM_File
  • 3D_Model_File
  • Data_Sheet_File
  • Software_Tools
  • Code
  • Instruction_Manual
  • ROS2_Basic_VM
Download ZIP

Welcome to Jetson Orin NX SUPER repository

当製品の日本語版マニュアル資料は、こちらからご取得ください。

4. OpenClaw Prompts

OpenClaw System Prompts

OpenClaw System Prompts1. Course ContentCourse Overview2. 📂 Switching Workspace3. AGENTS.md4. SOUL.md5. IDENTITY.md6. HEARTBEAT.md7. 🛠️ TOOLS.md8. 👤 USER.md9. 🧠 MEMORY.md

1. Course Content

Course Overview

  • 💡 OpenClaw adopts an innovative "file-as-prompt" architecture — the AI Agent's behavior, identity, memory, tool usage rules, etc., are all defined and loaded through multiple Markdown files in the Workspace.

2. 📂 Switching Workspace

  • OpenClaw's system prompts and skills are stored in the workspace path: $HOME/.openclaw/workspace
  • Jetson Orin NX comes with factory-preset workspace content in both Chinese and English, with identical content differing only in language
  • Users in different regions can switch the workspace document language as needed
  • Chinese workspace (prompts and skills content in Chinese)
cd /home/jetson/Language
sudo cp -a workspace_zh/. ~/.openclaw/workspace/
  • English workspace (prompts and skills content in English)
xxxxxxxxxx
cd /home/jetson/Language
sudo cp -a workspace_en/. ~/.openclaw/workspace/
  • After configuration is complete, restart the OpenClaw gateway to apply the configuration
xxxxxxxxxx
openclaw gateway restart

[!WARNING]

  • The .workspace_en and .workspace_zh hidden folders under the $HOME/.openclaw/workspace path are Chinese and English template files. It is recommended not to modify them.

3. AGENTS.md

  • Function Description

AGENTS.md defines the top-level specification for how an Agent operates in the workspace. 📖 Think of it as the Agent's "user manual" — telling the Agent how to start, how to manage memory, what it can do, and what it absolutely cannot do.

  • Content Structure

AGENTS.md mainly contains the following core sections:

SectionDescription
First RunGuides the Agent's initialization process on first startup (reads BOOTSTRAP.md)
Mechanical BodyDescribes the Agent's physical body (robotic arm, chassis, camera) and control methods
Session StartupSpecifies the startup process and file reading order for each session
Memory SystemDefines the layered architecture for daily records and long-term memory
Red Line RulesLists absolutely prohibited behaviors (destructive commands, modifying robot program code)
Operating StandardsDistinguishes between operations that can be freely executed and those that require asking first
Memory MaintenanceMemory organization and update mechanisms during heartbeat intervals

[!NOTE]

⚠️ The factory AGENTS.md prompt restricts OpenClaw from modifying robot program code.

4. SOUL.md

  • Function Description

SOUL.md is the Agent's "soul" and core 🧠. It defines the Agent's thinking approach and behavioral guidelines when facing tasks — how to control the robot body, how to find and use skills, how to plan and execute actions, and under what circumstances it should pause or refuse to execute. SOUL.md shapes the Agent's core behavioral pattern as a "robot operator."

  • Working Principle

SOUL.md is read by the Agent at session startup as the underlying guiding principle for task execution. It does not specify specific skill parameters, but rather defines the thinking process the Agent should follow when encountering any task. For example, the Agent is required to always check the skill library before starting any task and cannot execute based on feeling or memory alone — this "check documentation first, then act" habit is defined by SOUL.md.

 

5. IDENTITY.md

  • Function Description

IDENTITY.md defines the AI Agent's self-awareness and personality traits. It defines who the Agent "is" — its name, personality, language style, and basic identity positioning. This file gives the Agent a consistent personality when interacting with users.

  • Working Principle

At each session startup, the Agent reads IDENTITY.md and establishes its "self-awareness" based on this file. This information affects the Agent's tone when answering questions, the way it proactively offers help, and the style of building relationships with users. For example, an Agent set to be "friendly and gentle" will naturally use a more approachable language style when replying to users.

6. HEARTBEAT.md

  • Function Description

HEARTBEAT.md is the configuration file that controls the heartbeat detection mechanism in OpenClaw ⏰. The heartbeat mechanism allows the Agent to periodically "wake up" and perform background checks and maintenance tasks even without the user actively starting a session. This is similar to a robot's automatic scheduled inspection — the Agent can silently complete memory organization, status checks, and other work in the background.

  • Working Principle

The OpenClaw gateway periodically checks the contents of the HEARTBEAT.md file to determine whether it needs to trigger the Agent's heartbeat API call:

  • File is empty or contains only comments: Skip the heartbeat call; the Agent will not be woken up in the background

[!NOTE]

💤 In the robot's factory configuration, the heartbeat mechanism is disabled by default.


7. 🛠️ TOOLS.md

  • Function Description

TOOLS.md is the Agent's tool usage localization notes 📝. In the OpenClaw system, "Skills" define the general working methods of tools, while TOOLS.md records the Agent's own specific configurations and personalized settings. In short: Skills are the manuals (universal), and TOOLS.md is your personal notes (unique).

  • Working Principle

During a session, the Agent reads both the relevant Skills documentation to understand the general usage of tools and TOOLS.md to obtain specific configurations related to its deployment environment.

8. 👤 USER.md

  • Function Description

USER.md is the dedicated file used by the Agent to understand and remember user information. If IDENTITY.md is the window through which the Agent understands "who I am," then USER.md is the window through which the Agent understands "who it is dealing with." It records the user's basic information, preferences, project background, and other contextual information, helping the Agent provide more personalized and thoughtful service.

  • Working Principle

At each session startup, the Agent reads USER.md according to the process specified in AGENTS.md. Through this file, the Agent can:

  • Know how to address the user (name, form of address)
  • Understand the user's timezone, preferences, and other background information
  • Remember the user's concerns and ongoing projects

9. 🧠 MEMORY.md

  • Function Description

MEMORY.md is the AI Agent's long-term memory file 📚. In OpenClaw's memory system, there are two levels of memory storage:

  1. 📓 Daily Records (memory/YYYY-MM-DD.md): Records raw events and conversation logs that occur each day, similar to a human "diary"
  2. 🗂️ Long-term Memory (MEMORY.md): Essential information distilled from daily records, similar to human "long-term memory" — containing important events, lessons learned, key decisions, and insights
  • Working Principle

The loading and usage of MEMORY.md follow these rules:

  • Loaded only in the main session: When the user communicates directly with the Agent, the Agent reads MEMORY.md to obtain long-term memory
  • Maintained autonomously by the Agent: The Agent can freely read, edit, and update MEMORY.md in the main session

 

[!NOTE]

In actual use, users can:

  • ✏️ Actively write important information: Directly write content you think the Agent should remember long-term into MEMORY.md
  • 👀 Observe the Agent's autonomous maintenance: After the Agent has been running for a while, view the content automatically accumulated in MEMORY.md
  • 🔄 Manage memory content: Regularly check and organize MEMORY.md, remove outdated information, and ensure long-term memory remains concise and accurate
OpenClaw Model Switching
AI Voice Interaction Configuration

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