Berlin 2024 – wissenschaftliches Programm
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BP: Fachverband Biologische Physik
BP 21: Poster IIIb
BP 21.12: Poster
Mittwoch, 20. März 2024, 11:00–14:30, Poster C
A Bio-inspired Agent-based Model for Collective Shepherding — •yating zheng1,2 and pawel romanczuk1,2 — 1Humboldt-Universität zu Berlin — 2Research Cluster of Excellence 'Science of Intelligence'
Collective shepherding is a general control method for a swarm of intelligent agents to control other self-organized moving agents. The shepherding behaviour resembles prosperous animal behaviours, such as prey and predator, collective foraging and flocking behaviour and integrates their intrinsic qualities. However, most shepherding algorithms ignore the natural features of animal interactions and are limited to using one single shepherd. We propose an agent-based model to solve the shepherding problem with multiple shepherds. We first explore and compare different communication networks among sheep. Then we investigate the emerging coordination mechanism among shepherds and the related factors. Our model provides a potential method to control a heterogeneous swarm of robots.
Keywords: collective shepherding; agent-based model; interaction network