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Robotic Control Skill

Robotic Control Skill

@aly-joseph
developmentrobotic arm controlgripper manipulationindustrial automation

Integrates OpenClaw for physical robotic arm and gripper manipulation through voice commands and programmatic control, supporting 6-DOF movement, precise positioning, force sensing, and collision detection.

🚀 Control robotic arms and grippers with voice commands or code. The Robotic Control skill enables precise manipulation through 6-axis movement, grabbing, releasing, and positioning. It supports multiple robot brands and includes safety features like collision detection and force sensing for reliable automation.

💡 Perfect for warehouse automation, manufacturing tasks, research labs, and industrial applications. Execute complex action sequences, grab fragile objects with controlled force, or perform repetitive assembly work—all hands-free through voice or programmatic control.

✨ Features sub-10ms response times, millimeter-level precision, and works with industry-leading robots from UR, ABB, and KUKA. Includes simulation mode for testing before physical deployment.

GitHub

Requirements

openclaw

OpenClaw SDK for robotic arm and gripper control

pyserial

Python serial port communication library

numpy

Numerical computing library for array operations