University of Bath CM30229 Intelligent Control Systems Swarming Simulation
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Updated
Mar 25, 2017 - NetLogo
University of Bath CM30229 Intelligent Control Systems Swarming Simulation
fish_school_ground_truth contains the tracking data and files of the example in the paper "A data-driven procedure for modeling collective behavior" by de Andrade et al. (2024).
This repository showcases the potential of drone technology through an in-depth analysis. The correlating project explores diverse drone functionalities and their capacity to impact and transform our society. This repository contains well-structured Python programs developed as part of the research conducted for this project and serves as a POC.
Repo for videos supporting paper submission
Vortex vector field for collision avoidance in drone swarm formation control
Self-Organized Hydrodynamics PDE solver in Julia
Neural swarming controller models for multi-agent and single-entity simulations.
Simulations of flocking behaviour in active agents, using a simple Viscek model
(Superseded). An implementation of flocking for a large network of aerial vehicles.
(Superceded). This project implements an autonomous, decentralized dynamic encirclement strategy for swarms of vehicles.
Simulation of Systems of interacting mean-field Particles with High Efficiency
This project implements various multi-agent coordination techniques.
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