This project implements various multi-agent coordination techniques.
Simulation of Systems of interacting mean-field Particles with High Efficiency
(Superceded). This project implements an autonomous, decentralized dynamic encirclement strategy for swarms of vehicles.
(Superseded). An implementation of flocking for a large network of aerial vehicles.
Simulations of flocking behaviour in active agents, using a simple Viscek model
Vortex vector field for collision avoidance in drone swarm formation control
Neural swarming controller models for multi-agent and single-entity simulations.
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).
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