Statut | Confirmé |
Série | LPTMS |
Domaines | cond-mat.stat-mech |
Date | Mardi 14 Mai 2024 |
Heure | 11:00 |
Institut | LPTMS |
Salle | Salle des séminaires du FAST et du LPTMS, bâtiment Pascal n°530 |
Nom de l'orateur | Sire |
Prenom de l'orateur | Clément |
Addresse email de l'orateur | |
Institution de l'orateur | LPT Toulouse |
Titre | When poor little fish are confronted with AI, robot-fish, virtual reality, and drones |
Résumé | After introducing the collective behaviors observed in fish schools, I will outline a methodology for quantitatively measuring social interactions (attraction/repulsion; alignment) within animal groups. The reconstructed interactions can then be directly implemented in analytical models which quantitatively reproduce the collective motion of fish. I will also briefly address an alternative machine learning approach designed to produce realistic fish trajectories. In the latter part of the presentation, I will explore various applications of such analytical or machine learning behavioral models in the context of robotic and drone platforms, and a virtual reality setup for fish! In particular, our robot-fish and VR setups constitute original and powerful tools to study the social dynamics of fish and their response to controlled perturbations. |
Numéro de preprint arXiv | |
Commentaires | |
Fichiers attachés |
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