> ## Documentation Index
> Fetch the complete documentation index at: https://dimensionalos.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Unitree Go2

> The reference DimOS platform: navigation, agentic control, recording - real, simulated, or replayed

<img src="https://mintcdn.com/dimensionalos/nen8HmtUow2GjeTj/platforms/quadruped/go2/assets/go2.png?fit=max&auto=format&n=nen8HmtUow2GjeTj&q=85&s=7c729b7dfda93e0a4d16d54f9852977d" alt="Unitree Go2" width="800" height="800" data-path="platforms/quadruped/go2/assets/go2.png" />

The Unitree Go2 is the reference DimOS platform - the most complete stack in the repo, and the one every bundled replay dataset and most tutorials use. Everything runs three ways: on real hardware over WebRTC, in MuJoCo simulation, or against recorded sessions with no robot at all.

* [Setup your Dog](/platforms/quadruped/go2/setup) - requirements, install, connecting to your Go2, and agentic control
* [Simulation](/platforms/quadruped/go2/simulation) - try it with no hardware via replay or MuJoCo
* [Mapping & Navigation](/capabilities/navigation/index) - live nav, premap recording, and relocalization

## Available Blueprints

| Blueprint                              | Description                                                |
| -------------------------------------- | ---------------------------------------------------------- |
| `dimos run unitree-go2-basic`          | Connection + visualization (no navigation)                 |
| `dimos run unitree-go2`                | Full navigation stack                                      |
| `dimos run unitree-go2-agentic`        | Navigation + LLM agent + MCP tool access                   |
| `dimos run unitree-go2-agentic-ollama` | Agent with local Ollama models                             |
| `dimos run unitree-go2-spatial`        | Navigation + spatial memory                                |
| `dimos run unitree-go2-detection`      | Navigation + object detection                              |
| `dimos run unitree-go2-memory`         | Navigation + record `lidar`/`odom`/`color_image` to `.db`  |
| `dimos run unitree-go2-relocalization` | Navigation + align live scans to a saved `.pc2.lcm` premap |

Add `--replay` (recorded session) or `--simulation` (MuJoCo) to any of these to run without hardware.

## Deep Dive

* [Using navigation](/capabilities/navigation/using-navigation) - send goals by viewer click, Python, or language
* [Navigation stack](/capabilities/navigation/deep_dive) - column-carving voxel mapping, costmap generation, A\* planning
* [Relocalization](/capabilities/navigation/relocalization) - record → `dimos map global --export` → replay or live deploy
* [Tutorial: drive the Go2 with language](/agents/drive-go2-with-language) - the agentic stack end to end
* [Visualization](/usage/visualization) - Rerun, performance tuning
* [Streams](/usage/streams/index) - RxPY streams, backpressure, quality filtering
* [Blueprints](/usage/blueprints) - composing modules