JARVIS AI Skills

# 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

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Install skill "JARVIS AI Skills" with this command: npx skills add aly-joseph/jarvis-skills

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

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

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