Schooling, flocking, and swarming are all powerful examples of collective motion. The classical Vicsek model allows for simulating several emergent features of collective motion starting from simple interactions of active-self-propelled particles, particles tend to align with their neighbors, against the effects of internal random noise. Here, we demonstrate a fluid-like behavior, consisting of a self-organized vortex motion superimposed to local fluctuations. This collective motion appears when a large number of particles interact under the effect of a moderate noise, below the phase transition. This work is part of the collaborative efforts between artists and scientists working within the Creative Turbulence project.
Collective motion of 1000 Vicsek particles in a confined environment
Fish shoaling including a leader in red and four followers in green
simUfish: An interactive application to learn fish behavior
PIV reconstructions of zebrafish swimming in the flow
Leader-follower decentralized cohesive motion of stochastic multi-robots
Real time object detection and tracking
Vision and voice controlled self-balancing robot for outreach activities
Video of a sample experiment in Mwaffo, V., Curry, J. S., Iudice, F. L., De Lellis, P., 2020: "Pause-and-go Self-balancing Formation Control of Autonomous Vehicles using Vision and Ultrasound Sensors", Published in IEEE Transactions on Control Systems Technology.