How To Use AI Drone ROS Simulator
1 Select Project Type
Choose your drone project type - Inspection, Agriculture, Delivery, Security, Surveillance, Search & Rescue, or Swarm System.
2 Define Mission Objective
Describe what you want your drone to do - inspect solar farm, monitor construction site, deliver medical supplies, etc.
3 Set Fleet Size & Environment
Choose number of drones and operating environment (City, Forest, Farm, Warehouse, Industrial, Solar/Wind Farm).
4 Select Sensors
Choose required sensors: Camera, LiDAR, GPS, IMU, Thermal Camera, Radar, or Depth Camera.
5 Generate ROS Plan
Click "Generate ROS Plan" to get AI-generated architecture, workflow, sensor config, AI modules, and risk analysis.
Pro Tips
- For inspection missions, include Camera + LiDAR + GPS
- Swarm mode (5+ drones) enables coordinated area coverage
- Thermal cameras are essential for solar farm inspection
- LiDAR is critical for obstacle avoidance in complex environments
Frequently Asked Questions
What ROS architectures are generated?
The tool generates complete ROS architecture including Navigation System, Obstacle Avoidance, Object Detection, Mission Controller, and Return Home System.
How is the mission readiness score calculated?
The score is based on sensor configuration, environment suitability, swarm readiness, and AI module completeness. Higher scores indicate better mission readiness.
What swarm architectures are supported?
Leader-Follower, Task Assignment, Formation Control, and Collision Avoidance for multi-drone operations up to 100 drones.
Can I export the generated plan?
Yes! Copy to clipboard or export as text file for documentation and implementation.
What AI capabilities are included?
Object Detection, Path Planning, Obstacle Avoidance, Autonomous Navigation, and mission-specific AI (inspection/delivery/agriculture).