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    jarvis-skills

    The Robotic Control skill integrates OpenClaw for physical

    By @aly-joseph
    View on GitHub
    SKILL.md
    # Robotic Control Skill (OpenClaw)
    
    ## Overview
    The Robotic Control skill integrates OpenClaw for physical robotic arm and gripper manipulation through voice commands and programmatic control.
    
    ## Slug
    robotic-control
    
    ## Features
    - Robotic arm movement (6-DOF)
    - Gripper grab/release operations
    - Precise positioning and orientation
    - Force/torque sensing
    - Collision detection and safety
    - Action sequence execution
    - Hardware auto-detection
    - Simulation mode support
    
    ## Implementation
    - **Module**: `openclaw_control.py`
    - **Primary Library**: `OpenClaw SDK`
    - **Communication**: USB Serial, Ethernet, ROS
    
    ## Configuration
    ```python
    from openclaw_control import init_claw, get_claw
    
    # Initialize claw
    claw = init_claw()
    
    # Control operations
    claw.grab(force=50.0)
    claw.move_to(10, 20, 30)
    claw.release()
    ```
    
    ## Voice Commands
    - "Jarvis, grab the object"
    - "Jarvis, move to 10 20 30"
    - "Jarvis, rotate 45 degrees"
    - "Jarvis, release"
    - "Jarvis, return to home"
    - "Jarvis, claw status"
    
    ## Hardware Support
    - Universal Robots (UR)
    - ABB Robotics
    - KUKA
    - Stäubli
    - Custom embedded systems
    
    ## Performance
    - Reach: 2-3 meters (model-dependent)
    - Payload: 3-500 kg (model-dependent)
    - Precision: ±0.03-0.1 mm
    - Speed: 1-7000 mm/s
    - Response Time: <10ms
    
    ## Dependencies
    - openclaw
    - pyserial
    - numpy
    
    ## Author
    Aly-Joseph
    
    ## Version
    2.0.0
    
    ## Last Updated
    2026-01-31