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unitree-robot

Pass

Control mobile robots (quadruped, bipedal, wheeled, aerial) via OpenClaw. Supports Unitree robots and Insight9 AI stereo camera.

@LooperRoboticsMIT4/30/2026
48out of 100
(0)
42
5
20

Install Skill

Skills are third-party code from public GitHub repositories. SkillHub scans for known malicious patterns but cannot guarantee safety. Review the source code before installing.

Install globally (user-level):

npx skillhub install LooperRobotics/OpenClaw-Robotics/unitree-robot

Install in current project:

npx skillhub install LooperRobotics/OpenClaw-Robotics/unitree-robot --project

Suggested path: ~/.claude/skills/unitree-robot/

AI Review

Instruction Quality52
Description Precision38
Usefulness42
Technical Soundness62

An architecturally solid robotics skill with 24 implementation files including NL command parsing, SLAM integration, and multi-robot support. However, the SKILL.md instructions are thin relative to the underlying complexity, description has no triggers, and the skill is locked to a very niche platform (OpenClaw-Robotics + Unitree hardware).

SKILL.md Content

---
name: unitree-robot
description: "Control mobile robots (quadruped, bipedal, wheeled, aerial) via OpenClaw. Supports Unitree robots and Insight9 AI stereo camera."
metadata: {
  "openclaw": {
    "emoji": "🤖",
    "requires": {
      "python": ">=3.8",
      "pip": ["numpy"]
    }
  }
}
---

# Unitree Robot Controller Skill

Control various mobile robots through OpenClaw.

## Supported Robots

| Code | Model | Type |
|------|-------|------|
| `unitree_go1` | Unitree GO1 | Quadruped |
| `unitree_go2` | Unitree GO2 | Quadruped |
| `unitree_g1` | Unitree G1 | Bipedal/Humanoid |
| `unitree_h1` | Unitree H1 | Bipedal/Humanoid |

## Coming Soon

| Code | Type |
|------|------|
| `wheeled_*` | Wheeled robots |
| `drone_*` | Aerial robots |
| `surface_*` | Surface vehicles |

## Supported Sensors

| Code | Sensor |
|------|--------|
| `insight9` | Looper Robotics AI Stereo Camera (RGB-D) |

## Navigation

- **TinyNav** integration for path planning and obstacle avoidance (coming soon)

## Usage

```python
from unitree_robot_skill import initialize, execute

initialize(robot="unitree_go2")
execute("forward 1m")
execute("turn left 45")
```