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