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Tutorial 00: Preparation & Setup

Overview​

Before starting the TensorFleet tutorials, you need to set up your development environment and ensure the simulation is properly configured. This tutorial covers the essential preparation steps.

Learning Objectives​

  • Understand the TensorFleet development environment
  • Set up simulation monitoring tools
  • Learn simulation restart procedures
  • Prepare for consistent tutorial execution

Prerequisites​

  • TensorFleet account access
  • Basic understanding of drone operations (optional)

Step 1: Access the TensorFleet Platform​

  1. Login to your TensorFleet account

    • Visit the TensorFleet web interface
    • Log in with your credentials

  2. Start your VM

    • Navigate to the VM section
    • Start your allocated virtual machine
    • Wait for the VM to fully boot up

  3. Open the Map Panel

    • Once the VM is running, open the Map panel interface
    • This provides the primary interface for drone monitoring and control

Step 2: Understanding Monitoring Tools​

Simulation Views vs Map Panel​

  • Simulation Views: Provide 3D visualization of the drone and environment
  • Map Panel: Offers 2D map view with control interfaces

Recommendation: Use the Map panel for basic functionality and monitoring - it's more suitable for the tutorials.

Available Controls​

The Map panel provides several essential controls:

  • Arm/Disarm: Enable or disable drone motors
  • Mission Control: Execute pre-programmed flight missions
  • Manual Control: Direct drone operation

Step 3: Simulation Management​

Why Restart Simulation?​

For consistent tutorial results, you must restart the simulation before each tutorial run. This ensures:

  • Clean initial state
  • Predictable drone behavior
  • Consistent telemetry data

Restart Procedure​

  1. Locate the Restart Button

    • In the Map panel interface
    • Look for "Restart simulation" on the right side

  2. Execute Restart

    • Click "Restart simulation"
    • Wait 10-15 seconds for completion
    • The simulation will reset to its initial state

  3. Verify Restart

    • Drone should return to ground state
    • All telemetry should reset to default values

Step 4: Testing State Changes​

Debugging Telemetry Scripts​

When developing or debugging your telemetry scripts, you'll need to observe state changes. Since tutorials run continuously, you need ways to trigger state changes during execution.

Methods to Change Drone State​

  1. Basic Takeoff/Land Operations

    • Use the Map panel controls
    • Perform manual takeoff and landing
    • Observe how telemetry data changes

  2. Mission Execution

    • Run pre-configured missions
    • Monitor state transitions during flight

  3. Arming/Disarming

    • Toggle drone arming state
    • Watch connection and safety indicators

Step 5: Environment Verification​

Check Your Setup​

Before proceeding to tutorials, verify:

  • TensorFleet VM is running
  • Map panel is accessible
  • Simulation has been restarted recently
  • You can see drone status indicators

Common Issues​

  • Connection Problems: Ensure VM is fully started
  • Map Panel Not Loading: Check browser compatibility
  • Simulation Not Responding: Try restarting the simulation again

Next Steps​

Once your environment is prepared:

  1. Proceed to Tutorial 01: Connection & State Monitoring
  2. Run tutorials in order: Each builds upon the previous
  3. Restart simulation: Before each tutorial execution

Note: Always restart the simulation before running any tutorial script for consistent results.