🤖 AI Robot Swarm Simulator

Simulates multiple robots moving in a shared environment. Visualize swarm behaviors like formation, flocking, area coverage, and collision avoidance in real-time.

Swarm Parameters

Swarm Statistics
Active Robots
20
Coverage %
34%
Avg Speed
2.0
Collisions
0

💡 How Swarm Intelligence Works

Each robot follows simple rules: maintain separation from neighbors, align with average direction, and move toward the group center (cohesion). This creates complex emergent behaviors used in drone fleets, warehouse robots, and search missions.

Swarm Visualization

Real-time Behavior
Flocking: Robots align and move together

📘 How To Use AI Robot Swarm Simulator

🎯 Step 1: Set Swarm Parameters

Adjust robot count, speed, and spacing using the sliders. More robots create complex interactions; spacing controls how tightly they group.

⚙️ Step 2: Choose Behavior Mode

Select Flocking for coordinated movement, Formation for grid-like patterns, or Area Coverage for exploration simulation.

▶️ Step 3: Run Simulation

Click "Start Simulation" to begin. Watch how robots self-organize and avoid collisions. Pause anytime to inspect formations.

📊 Step 4: Analyze Statistics

Monitor live stats: active robots, estimated area coverage, average speed, and near-miss events (collisions avoided).

💡 Pro Tips

  • Lower spacing + higher speed = more dynamic flocking
  • Area Coverage mode makes robots explore with minimal overlap
  • Use Reset to randomize initial positions
  • Watch how robots maintain formation even when avoiding each other

❓ Frequently Asked Questions

What swarm algorithm is used? ▼
The simulation implements a classic Boid-like model with separation, alignment, and cohesion. Collision avoidance is prioritized to prevent robots from overlapping.
Can this model real drone swarms? ▼
Yes. It demonstrates core principles used in drone light shows, warehouse robots (like Amazon Robotics), and search-and-rescue coordination. Real robots would add altitude and more sensors, but the flocking logic is similar.
What's the difference between modes? ▼
Flocking: Robots move together with common direction. Formation: They try to maintain a grid layout. Area Coverage: Robots spread out to explore, mimicking search patterns.
How is collision avoidance simulated? ▼
Each robot has a "personal space" radius. If another robot enters it, they steer away. This is why you'll see them smoothly avoid each other even in dense swarms.
Is this simulation accurate for real robots? ▼
It's a simplified 2D model. Real robots have inertia, communication delays, and sensor noise, but the emergent behaviors—like decentralized decision making—are accurately represented.
Can I use this for my robotics project? ▼
Absolutely! It's great for prototyping swarm logic before deploying on physical robots. You can extend the JavaScript to test your own algorithms.
Does it work on mobile? ▼
Yes, the canvas and controls are fully responsive. You can adjust parameters and see the swarm adapt on any device.