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

# Quick Start

> Get up and running with Neuronav SLAM SDK in 2 minutes - no ROS2 expertise required

Get your first SLAM system running in 2 minutes with just 2 lines of Python code.

## Prerequisites

* Ubuntu 20.04/22.04 (or Windows 11 with WSL2)
* Python 3.8+
* Intel RealSense or OAK-D Pro camera
* SDK installed ([see installation guide](/getting-started/installation))

## Your First SLAM Application

**1. Create a new Python file**

```bash theme={null}
touch my_first_slam.py
```

**2. Add these 2 lines**

```python theme={null}
from neuronav import RealSenseSensor, run_slam, RTABMapSLAM

sensor = RealSenseSensor()
run_slam(sensor, RTABMapSLAM())
```

**3. Run it**

```bash theme={null}
python3 my_first_slam.py
```

That's it! Your robot is now creating a 3D map in real-time.

## With 3D Visualization

Add `visualize=True` to see the map being built:

```python theme={null}
from neuronav import RealSenseSensor, run_slam, RTABMapSLAM

sensor = RealSenseSensor()
run_slam(sensor, RTABMapSLAM(), visualize=True)
```

Open [http://localhost:8765](http://localhost:8765) in your browser to view the live 3D map.

## Using OAK-D Pro Camera

Simply change the sensor:

```python theme={null}
from neuronav import OAKDSensor, run_slam, RTABMapSLAM

sensor = OAKDSensor()
run_slam(sensor, RTABMapSLAM())
```

## What's Next?

<CardGroup cols={3}>
  <Card title="Configuration" icon="sliders" href="/configuration/overview">
    Customize sensor and SLAM settings
  </Card>

  <Card title="More Examples" icon="code" href="/examples/basic-slam">
    See advanced use cases
  </Card>

  <Card title="Add Your Sensor" icon="plus" href="/sensors/custom-sensors">
    Integrate custom cameras
  </Card>
</CardGroup>