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

# Overview

Within GRID, we provide a comprehensive suite of cutting-edge AI models designed to tackle a wide array of common robotics tasks. These tasks span across critical areas such as reasoning, perception, navigation, control, and safety. Our models are meticulously orchestrated to work in synergy, delivering a seamless and powerful solution architecture for your robotics applications.

Whether you are developing autonomous drones, ground robots, or sophisticated robotic arms, GRID's AI models offer the foundation for building intelligent and robust systems.

## Model Categories

Our AI models are organized into the following categories, each addressing specific robotics challenges:

<CardGroup cols={2}>
  <Card title="Depth Estimation" icon="ruler-combined" href="/models/depth">
    Models for perceiving depth from images, crucial for 3D scene understanding and obstacle avoidance.
  </Card>

  <Card title="Object Detection" icon="search" href="/models/detection">
    Identify and locate objects within an image or video stream.
  </Card>

  <Card title="Feature Matching" icon="magnet" href="/models/matching">
    Models for finding corresponding points between images, essential for tasks like SLAM and image stitching.
  </Card>

  <Card title="Navigation" icon="route" href="/models/navigation">
    AI models to enable autonomous movement and path planning.
  </Card>

  <Card title="Optical Flow" icon="wind" href="/models/optical_flow">
    Estimate the motion of objects or the camera itself between consecutive frames.
  </Card>

  <Card title="Segmentation" icon="object-group" href="/models/segmentation">
    Partition an image into multiple segments or regions, often to distinguish objects from the background.
  </Card>

  <Card title="Simultaneous Localization and Mapping (SLAM)" icon="map-location-dot" href="/models/slam">
    Enable a robot to build a map of an unknown environment while simultaneously keeping track of its location within that map.
  </Card>

  <Card title="Tracking" icon="crosshairs" href="/models/tracking">
    Follow the movement of specific objects over time in a video sequence.
  </Card>

  <Card title="Time to Collision (TTC)" icon="stopwatch" href="/models/ttc">
    Estimate the time remaining before a potential collision, critical for safety systems.
  </Card>

  <Card title="Vision Language Models (VLA)" icon="comments" href="/models/vla">
    Models that can understand and respond to queries about visual content using natural language.
  </Card>

  <Card title="Visual Language Models (VLM)" icon="eye" href="/models/vlm">
    Integrate visual information with natural language processing for enhanced understanding and interaction.
  </Card>

  <Card title="Visual Odometry (VO)" icon="camera-rotate" href="/models/vo">
    Estimate the camera's motion by analyzing sequential camera images.
  </Card>
</CardGroup>

Explore each category to discover the specific models and how they can be integrated into your robotics projects.