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researcher

L. Cazenille

17 papers hereh-index 10319 citations45 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author7
  • middle author6

Across the 15 of 17 papers where every author was matched, so the position is known.

fields
  • cs.NE5
  • cs.RO5
  • q-bio.NC2
  • q-bio.PE2
  • nlin.AO1
  • physics.soc-ph1

identity via Semantic Scholar / OpenAlex

activity
20152025
most citedHow to Blend a Robot within a Group of Zebrafish: Achieving Social Acceptance through Real-time Calibration of a Multi-level Behavioural Model

17 citations · 91 across the 17 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

q-bio.NC2018★ 2 cited

Modelling zebrafish collective behaviours with multilayer perceptrons optimised by evolutionary algorithms

Leo Cazenille, Nicolas Bredeche, José Halloy

Collective movements are pervasive behaviours among social organisms and have led to the development of many models. However, modelling animal trajectories and social interactions…

q-bio.NC2018★ 6 cited

Evolutionary optimisation of neural network models for fish collective behaviours in mixed groups of robots and zebrafish

Leo Cazenille, Nicolas Bredeche, José Halloy

Animal and robot social interactions are interesting both for ethological studies and robotics. On the one hand, the robots can be tools and models to analyse animal collective beh…

cs.NE2018★ 17 cited

How to Blend a Robot within a Group of Zebrafish: Achieving Social Acceptance through Real-time Calibration of a Multi-level Behavioural Model

Leo Cazenille, Yohann Chemtob, Frank Bonnet +4

We have previously shown how to socially integrate a fish robot into a group of zebrafish thanks to biomimetic behavioural models. The models have to be calibrated on experimental…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.