OpenClaw

Jarvis Skills

Robotic Control Skill OpenClaw

aly-joseph0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install aly-joseph/jarvis-skills

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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

来源信息

Source: github
Repository: openclaw/skills
Path: skills/aly-joseph/jarvis-skills
Version: —
Commit: 8914ef4c89dc8542854c562b44310df5f3570e4f
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

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

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