# ROS 2 Polishing Robot

> Use this tool when you need to integrate and control ROS 2 robotic systems for industrial polishing applications, providing real-time data processing and automation. It solves problems related to robotic system connectivity, data analysis, and execution logging, offering inputs such as topic queries and service requests, and outputs including filtered data and regenerated paths. Ideal for use in manufacturing and industrial automation contexts where precise polishing is required.

Canonical page: https://skillsregistry.net/skills/chomi14-ros-2-polishing-robot  
JSON: https://api.skillsregistry.net/v1/skills/chomi14-ros-2-polishing-robot

## Description

Connects ROS 2 robotic systems through rosbridge WebSocket for querying topics, services, and message structures. Provides polishing-specific data processing including filtering, analysis, path regeneration, and automated execution logging for industrial polishing applications.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/chomi14-ros-2-polishing-robot)
- **Repository:** <https://github.com/chomi14/ros-mcp-server>

## 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": "chomi14-ros-2-polishing-robot"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chomi14-ros-2-polishing-robot` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chomi14-ros-2-polishing-robot/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