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.
Journey to the center of stars: the realm of low prandtl number fluid dynamics
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.