17 citations · 91 across the 17 of their papers we have counts for
17 papers
Pogosim -- a Simulator for Pogobot robots
Leo Cazenille, Loona Macabre, Nicolas Bredeche
Pogobots are a new type of open-source/open-hardware robots specifically designed for swarm robotics research. Their cost-effective and modular design, complemented by vibration-ba…
Pogobot: an Open-Source, Low-Cost Robot for Swarm Robotics and Programmable Active Matter
Alessia Loi, Loona Macabre, Jérémy Fersula +8
This paper describes the Pogobot, an open-source platform specifically designed for research at the interface of swarm robotics and active matter. Pogobot features vibration-based…
Signaling and Social Learning in Swarms of Robots
Leo Cazenille, Maxime Toquebiau, Nicolas Lobato-Dauzier +5
This paper investigates the role of communication in improving coordination within robot swarms, focusing on a paradigm where learning and execution occur simultaneously in a decen…
Hearing the shape of an arena with spectral swarm robotics
Leo Cazenille, Nicolas Lobato-Dauzier, Alessia Loi +7
Swarm robotics relies on robots with minimal sensing and computation that achieve self-organization at the level of the collective to address a variety of tasks. Yet swarm robotics…
Investor-patent networks as mutualistic networks
Théophile Carniel, Léo Cazenille, Jean-Michel Dalle +1
Venture capital investments in startups have come to represent an important driver of technological innovation, in parallel to corporate- and government-directed efforts. Part of t…
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms
Leo Cazenille
Quality-Diversity algorithms search for large collections of diverse and high-performing solutions, rather than just for a single solution like typical optimisation methods. They a…
Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites
Leo Cazenille, Nicolas Bredeche, Nathanael Aubert-Kato
Swarms of molecular robots are a promising approach to create specific shapes at the microscopic scale through self-assembly. However, controlling their behavior is a challenging p…
Comparing reliability of grid-based Quality-Diversity algorithms using artificial landscapes
Leo Cazenille
Quality-Diversity (QD) algorithms are a recent type of optimisation methods that search for a collection of both diverse and high performing solutions. They can be used to effectiv…
Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours using a Quality Diversity Algorithm
Leo Cazenille, Nicolas Bredeche, José Halloy
During the last two decades, various models have been proposed for fish collective motion. These models are mainly developed to decipher the biological mechanisms of social interac…
Exploration and Exploitation in Symbolic Regression using Quality-Diversity and Evolutionary Strategies Algorithms
J. -P. Bruneton, L. Cazenille, A. Douin +1
By combining Genetic Programming, MAP-Elites and Covariance Matrix Adaptation Evolution Strategy, we demonstrate very high success rates in Symbolic Regression problems. MAP-Elites…
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…
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…
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…
Loose social organisation of AB strain zebrafish groups in a two-patch environment
Axel Séguret, Bertrand Collignon, Leo Cazenille +2
We explore the collective behaviours of 7 group sizes: 1, 2, 3, 5, 7, 10 and 20 AB zebrafish (Danio rerio) in a constraint environment composed of two identical squared rooms conne…
Collective departures in zebrafish: profiling the initiators
Bertrand Collignon, Axel Séguret, Yohann Chemtob +2
For animals living in groups, one of the important questions is to understand what are the decision-making mechanisms that lead to choosing a motion direction or leaving an area wh…
Automated optimisation of multi-level models of collective behaviour in a mixed society of animals and robots
Leo Cazenille, Nicolas Bredeche, José Halloy
Animal and robotic collective behaviours can exhibit complex dynamics that require multi-level descriptions. Here, we are interested in developing a multi-level modeling framework…
Automated Analysis of Behavioural Variability and Filial Imprinting of Chicks (G. gallus), using Autonomous Robots
A. Gribovskiy, F. Mondada, J. L. Deneubourg +3
Inter-individual variability has various impacts in animal social behaviour. This implies that not only collective behaviours have to be studied but also the behavioural variabilit…