4 papers
Learning to flock in open space by avoiding collisions and staying together
Martino Brambati, Antonio Celani, Marco Gherardi +1
We investigate the emergence of cohesive flocking in open, boundless space using a multi-agent reinforcement learning framework. Agents integrate positional and orientational infor…
Optimal trajectories for Bayesian olfactory search in turbulent flows: the low information limit and beyond
Robin A. Heinonen, Luca Biferale, Antonio Celani +1
In turbulent flows, tracking the source of a passive scalar cue requires exploiting the limited information that can be gleaned from rare, stochastic encounters with the cue. When…
Exploring Bayesian olfactory search in realistic turbulent flows
Robin A. Heinonen, Luca Biferale, Antonio Celani +1
The problem of tracking the source of a passive scalar in a turbulent flow is relevant to flying insect behavior and several other applications. Extensive previous work has shown t…
Harvesting energy from turbulent winds with Reinforcement Learning
Lorenzo Basile, Maria Grazia Berni, Antonio Celani
Airborne Wind Energy (AWE) is an emerging technology designed to harness the power of high-altitude winds, offering a solution to several limitations of conventional wind turbines.…