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MENTOR - Machine-learning based control of complex multi-agent systems
for search and rescue operations in natural disasters

Publications

Year

Author

Conference/Journal

Title

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2025 B. Di Lorenzo, G. C. Maffettone, M. di Bernardo Submitted to IEEE Control Systems Letters (joint submission with CDC25) Decentralized Continuification Control of Multi-Agent Systems via Distributed Density Estimation

arxiv/2503.14119

2025 A. Lama, M. di Bernardo, Sabine H. L. Klapp Submitted to Nature Communication An interpretable continuum framework for decision-making:
nonreciprocal field theory of the shepherding control problem
arxiv/2503.01112
2024 Italo Napolitano, Andrea Lama, Francesco De Lellis, Mario di Bernardo Submitted to the European Control Conference 2025 (ECC25) Emergent Cooperative Strategies for Multi-Agent Shepherding via Reinforcement Learning arxiv/2411.05454
2024 Gian Carlo Maffettone, Lorenzo Liguori, Eduardo Palermo, Mario di Bernardo, Maurizio Porfiri IEEE Transactions on Control Systems Technology Mixed Reality Environment and High-Dimensional Continuification Control for Swarm Robotics ieeexplore/10614946
2024 Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo  IEEE Transactions on Control  Systems Technology Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning ieeexplore/10534075
2024 Andrea Lama, Mario di Bernardo Physical Review Research Shepherding and herdability in complex multiagent systems journals.aps.org/b6072Y61
2024 Gian Carlo Maffettone, Alain Boldini, Maurizio Porfiri, Mario di Bernardo Submitted to IEEE Transaction on Automatic Control Leader-Follower Density Control of Spatial Dynamics in Large-Scale Multi-Agent Systems arxiv/2406.01804
2024 Gian Carlo Maffettone, Mario di Bernardo, Maurizio Porfiri 2024 IEEE 63rd Conference on Decision and Control (CDC) December 16-19, 2024, Milan, Italy High-dimensional continuification control of large-scale multi-agent systems under limited sensing and perturbations
ieeexplore/10886140