Multi-Agent Path Planning

Coordinate teams of agents while tuning collisions, costs, and timing.

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Agent Count Toggle number of agents participating. 5 agents
Objective Balance safety, smoothness, and makespan.
Environment Swap between cluttered and open.
Disturbance Inject randomness into the replanned trajectories. 15% disturbance
Simulation Replay the active trajectories.
Env: cluttered Agents: 3 Longest path: 0 steps Objective: Min total time Disturbance: 15%