Calibrate a robot hand and test gestures safely
Use an OpenClaw agent to inspect a 16-joint printed hand, verify motion with a camera, and calibrate firmware before trying simple gestures.
- What they did
- A Claude-powered OpenClaw agent was linked to an Aero Hand Open, a fully printed robotic hand with 16 joints. It watched its own motion through a USB camera, adjusted firmware settings, and reported each step in Telegram. It also tried a few hand shapes during the process.
- How it went
- The hand was able to make a fist and a peace sign. The write-up did not include additional setup details, timing, or cost information.
- Tips
- For hardware like this, keep the motion range small at first and watch every change through a camera. Because autonomous control of physical devices can create security and governance issues, add a check-in before any move that could damage the hand or people nearby.
Try it yourself with OpenClaw
You are controlling my [robot hand or similar device] through [USB/serial connection]. First, read the available joints and current settings from [docs, config, or firmware info]. Move one joint at a time through a narrow safe range, use my [camera name] to confirm what happened, and record any calibration changes needed. Send short progress updates to me in [Telegram or other chat app]. Before any action that would exceed the safe range, change firmware settings, or risk damage, stop and ask for my approval. Then try a few simple hand poses and summarize what worked and what did not.
Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.
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