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Statut |
Confirmé |
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Série |
LPTMS |
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Domaines |
cond-mat.stat-mech |
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Date |
Mardi 14 Mai 2024 |
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Heure |
11:00 |
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Institut |
LPTMS |
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Salle |
Salle des séminaires du FAST et du LPTMS, bâtiment Pascal n°530 |
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Nom de l'orateur |
Sire |
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Prenom de l'orateur |
Clément |
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Addresse email de l'orateur |
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Institution de l'orateur |
LPT Toulouse |
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Titre |
When poor little fish are confronted with AI, robot-fish, virtual reality, and drones |
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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. |
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Numéro de preprint arXiv |
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Commentaires |
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Fichiers attachés |
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