no code implementations • 25 Mar 2024 • Leo Cazenille, Nicolas Lobato-Dauzier, Alessia Loi, Mika Ito, Olivier Marchal, Nathanael Aubert-Kato, Nicolas Bredeche, Anthony J. Genot
Diffusion over a domain is mathematically encapsulated by the Laplacian, a linear operator that measures the local curvature of a function.
no code implementations • 3 May 2021 • Leo Cazenille
While FDs usually needs to be hand-designed, recent studies have proposed ways to define them automatically by using feature extraction techniques, such as PCA or Auto-Encoders, to learn a representation of the problem from previously explored solutions.
1 code implementation • 1 Oct 2019 • 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.
no code implementations • 23 Jul 2019 • 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.
no code implementations • 22 Jul 2019 • Leo Cazenille, Nicolas Bredeche, José Halloy
During the last two decades, various models have been proposed for fish collective motion.
no code implementations • 9 Aug 2018 • Leo Cazenille, Nicolas Bredeche, José Halloy
These models are designed to be implementable as robot controllers to form mixed-groups of fish and robots, using few a priori knowledge of the fish behaviours.
no code implementations • 29 May 2018 • Leo Cazenille, Yohann Chemtob, Frank Bonnet, Alexey Gribovskiy, Francesco Mondada, Nicolas Bredeche, Jose Halloy
The calibrated model is updated on the robot and tested during the experiments.