Understanding GRID Workspace

A Session is the central concept to the GRID workflow. And Workspace is where you configure and launch your user sessions. It serves as a comprehensive development environment that combines:

  • Robot Configuration: Choose and customize your robot platform
  • Simulation Environment: Select and configure your virtual environment.
  • AI Models: Integrate AI models for various tasks and capabilities.
  • Tools: Access Telemetry Panel, a copilot to power your development process, and much more!

All these components work together to provide a complete toolkit for robotics AI development.

Available Sample Sessions

Our Sample Scenarios section provides predefined simulation environments to assist users in developing AI capabilities for robotics. Each scenario features a robot, an environment, and AI models for tasks such as computer vision, object detection, and segmentation.

Currently, we provide the following sample sessions for users to get started quickly:

  1. Hello GRID: A minimal scenario for familiarizing users with the platform.
  2. Forest Fire Search and Rescue: Simulates drone-based search and rescue missions in a forest fire setting.
  3. Aerial Asset Inspection: Uses drones for inspecting electrical infrastructure, such as wind turbines and powerlines.
  4. Drone Urban Navigation: Simulates drone navigation in real-world locations using Google Photorealistic 3D tiles.
  5. Lunar Rover Exploration: A space robotics simulation featuring a lunar rover in a low-gravity environment.
  6. Suburban Robot Delivery: A suburban scenario with a delivery robot equipped with a LiDAR sensor.

Configuring a Custom Session

To create a custom session, follow these general steps:

1. Select a Robot

Select a robot (either aerial or wheeled) and define its characteristics. More information about robot data configuration is available under the ‘Robot’ tab.

2. Select a Scene

Choose from a variety of environments: urban settings through Google or Bing Maps, natural scenes like beaches or forests, or specialized locations like oil rigs and construction sites. More information about scene selection is available under the ‘Scene’ tab.

3. Set Up Cameras

Configure camera parameters to get the desired views and parameters for your simulation. The ‘Cameras’ tab will guide you through the setup process.

4. Adjust Sensors

Customize the sensors on your robot to detect and interact within the simulation environment. Details for sensor configuration can be found in the ‘Sensors’ tab.

5. Choose AI Models

Preconfigure the AI models that will be used in your simulation. Navigate to the ‘AI Models’ tab for selection and setup. If you have not decided on AI models yet, you can still import them after starting the session.

Launching Your Custom Session

Once you have configured your simulation environment, robot, cameras, sensors, and AI models:

  • Click the Launch button, typically located at the bottom or top-right corner of the interface, to initiate your customized simulation.
The availability of scenes, robots, cameras, sensors, and AI models may vary depending on your subscription plan and the current version of the GRID platform.

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