Control and calibrate a robotic hand with OpenClaw
An OpenClaw agent running Claude drove a 16-joint printed hand, checked its actions with a USB camera, calibrated firmware and narrated in Telegram.
Done withOpenClaw
- What they did
- The article summarises a project Adafruit highlighted. An OpenClaw agent running Claude was connected to an Aero Hand Open, a fully 3D-printed 16-joint robotic hand. A USB camera let the agent check its own movements visually. It calibrated the firmware on its own, tried out gestures, and narrated each step in a Telegram chat.
- How it went
- The hand formed a fist and a peace sign. The source gives no further numbers, and it only briefly summarises the project, so setup details are missing.
- Worth knowing
- The source is a secondhand roundup with no setup, cost or timing details. It also warns that giving an agent autonomous control of hardware raises security and governance risks.
Try it yourself with OpenClaw
Connect to my [robot hand/servo device] over [USB/serial port] and learn its joint list from [docs or config file]. Move each joint through a small safe range, check the result with my camera at [camera device], and note the calibration offsets for any joint that is off. Report progress to me in [Telegram/chat app], and ask me before sending any movement outside the safe range of [limits].
Source: evoailabs.medium.com · Undated
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