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Found 7 papers, 1 papers with code
Hearing the shape of an arena with spectral swarm robotics
Diffusion over a domain is mathematically encapsulated by the Laplacian, a linear operator that measures the local curvature of a function.
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms
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.
Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites
Swarms of molecular robots are a promising approach to create specific shapes at the microscopic scale through self-assembly.
Comparing reliability of grid-based Quality-Diversity algorithms using artificial landscapes
Quality-Diversity (QD) algorithms are a recent type of optimisation methods that search for a collection of both diverse and high performing solutions.
Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours using a Quality Diversity Algorithm
During the last two decades, various models have been proposed for fish collective motion.
Evolutionary optimisation of neural network models for fish collective behaviours in mixed groups of robots and zebrafish
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.
How to Blend a Robot within a Group of Zebrafish: Achieving Social Acceptance through Real-time Calibration of a Multi-level Behavioural Model
The calibrated model is updated on the robot and tested during the experiments.
