An essential onboarding guide for the RDK X5 platform that leads developers from hardware setup to running real-time AI object detection.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rdk-x5-quickstart
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install rdk-x5-quickstart using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The rdk-x5-quickstart skill is a foundational resource for developers entering the D-Robotics ecosystem. It provides a structured path for setting up the RDK X5 hardware, ensuring that users can successfully flash the RDK OS, manage initial boot sequences, and establish network connectivity. By utilizing Openclaw Skills, this guide simplifies the transition from raw hardware to a functional AI development environment.
Beyond basic setup, the skill validates hardware performance by running pre-configured AI models. It introduces users to both simple Python-based inference and sophisticated ROS2-based workflows using TogetherROS (TROS). This ensures that even beginners can achieve immediate results with computer vision and machine learning tasks.
To flash the image to your SD card from a Linux environment, identify your device and run:
sudo dd if=rdk_os_image.img of=/dev/sdX bs=4M status=progress && sync
Once booted, connect to your local network using nmcli:
sudo nmcli device wifi connect "YOUR_WIFI_NAME" password "YOUR_PASSWORD"
Finally, ensure your package lists are up to date to support additional Openclaw Skills:
sudo apt update && sudo apt upgrade -y
The rdk-x5-quickstart skill utilizes specific system paths and metadata for its operations:
| Data Type | Location / Source | Purpose |
|---|---|---|
| System Image | developer.d-robotics.cc | Official OS source for RDK X5. |
| Credentials | root/root or sunrise/sunrise | Default access for initial configuration. |
| AI Models | /app/pydev_demo/07_yolov5_sample | Pre-installed YOLOv5 models for validation. |
| Environment | /opt/tros/humble/setup.bash | ROS2 Humble environment configuration. |
| System Info | rdkos_info | Command to retrieve hardware and OS metadata. |
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