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Warehouse Robot Traffic Deconfliction

Two identical fleets of warehouse robots pick items from shelves in real time. One fleet follows each robot's own shortest path blindly and jams at intersections; the other uses a priority-based reservation layer that inserts small waits and reroutes to keep traffic flowing. Compare live deliveries-per-minute as fleet size grows.

Robotics & Kinematics3DModerate60 FPS

Every mobile robot in a warehouse fleet can compute its own individually shortest path to a shelf — but a warehouse full of robots each ignoring everyone else's plan is not the same as a fast warehouse. This simulation runs two identical robot fleets side by side on the same aisle layout: one lets every robot follow its own shortest path blindly, so paths cross and robots jam at intersections; the other adds a lightweight priority-based reservation layer that predicts conflicts ahead of time and inserts small waits or reroutes for the lower-priority robot, keeping the whole fleet moving. Scale the fleet size up and watch how differently the two strategies degrade.

⚙ Under the hood

Two identical warehouse robot fleets pick items in real time. One fleet follows each robot's own shortest path blindly and jams at intersections; the other uses a priority-based reservation layer (space-time A*) that inserts small waits and reroutes to keep traffic flowing. Compare live deliveries-per-minute as fleet size grows.

Multi-Robot Path PlanningA* SearchTraffic ManagementWarehouse AutomationFleet Throughput

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install