Simulations of multi-agent drone systems in three scenarios produce scaling laws that collapse performance data onto simple functions and quantify trade-offs in agent count versus platform parameters.
Tsatsanifos, COMPUTATIONALLY EFFICIENT ALGO- RITHMS FOR OPTIMAL MOTION PLANNING AGAINST MULTI-DOMAIN SUPER SW ARMS
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Scaling and Trade-offs in Multi-agent Autonomous Systems
Simulations of multi-agent drone systems in three scenarios produce scaling laws that collapse performance data onto simple functions and quantify trade-offs in agent count versus platform parameters.