# genpark-lidar-d-shape-autonomous-floor-mapping-robot-skill

> genpark-lidar-d-shape-autonomous-floor-mapping-robot-skill — alphaparkinc-genpark-lidar-d-shape-autonomous-floor-mapping-robot-skill. Use this tool when you need to create autonomous floor maps using Laser LiDAR SLAM technology, enabling robotic devices like vacuum cleaners to navigate and clean spaces efficiently. It solves problems related to robotic navigation, mapping, and cleaning, providing accurate and detailed floor plans. This skill takes in sensor data and outputs a mapped environment, ideal for use in robotic vacuum cleaners and other autonomous devices.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-lidar-d-shape-autonomous-floor-mapping-robot-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-lidar-d-shape-autonomous-floor-mapping-robot-skill

## Description

Laser LiDAR SLAM floor mapping and D-shape robotic vacuum cleaner (Neato style)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-lidar-d-shape-autonomous-floor-mapping-robot-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-lidar-d-shape-autonomous-floor-mapping-robot-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-lidar-d-shape-autonomous-floor-mapping-robot-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-lidar-d-shape-autonomous-floor-mapping-robot-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt