Modeling collective behaviors from optic flow and retinal cues

Diego Castro (1, 2) , Franck Ruffier (1) , Christophe Eloy (2)

1 ISM - Institut des Sciences du Mouvement Etienne Jules Marey
2 IRPHE - Institut de Recherche sur les Phénomènes Hors Equilibre

Animal collective behavior is often modeled with self-propelled particles, assuming each individualhas “omniscient” knowledge of its neighbors. Yet, neighbors may be hidden from view and we donot know the effect of this information loss. To address this question, we propose a visual model ofcollective behavior where each particle moves according to bio-plausible visual cues, in particular theoptic flow. This visual model successfully reproduces three classical collective behaviors: swarming,schooling, and milling. This model offers a potential solution for controlling artificial swarms visually.

Keywords: swarming; flocking; vision; optic flow; collective behavior; modeling

Domains: Modeling and Simulation

Diego Castro, Franck Ruffier, Christophe Eloy. Modeling collective behaviors from optic flow and retinal cues. Physical Review Research, 2024, 6 (2), pp.023016. ⟨10.1103/PhysRevResearch.6.023016⟩. ⟨hal-04569967v1⟩