Some recent publications

[J76] M. Salman, D. Garzón Ramos, and M. Birattari (2024).   Automatic design of stigmergy-based behaviours for robot swarms.   Communications Engineering, 3:30

[J75] M. Kegeleirs, D. Garzón Ramos, K. Hasselmann, L. Garattoni, G. Francesca, and M. Birattari (2024).   Transferability in the automatic off-line design of robot swarms: from sim-to-real to embodiment and design-method transfer across different platforms design of robot swarms.   IEEE Robotics and Automation Letters, 9(3):2758-2765

[P92] I. Gharbi, J. Kuckling, D. Garzón Ramos, M. Birattari (2023).   Show me what you want: inverse reinforcement learning to automatically design robot swarms by demonstration.   In K. Althoefer et al. (Eds.) IEEE International Conference on Robotics and Automationm, ICRA. IEEE Press, Piscataway, NJ. (Conference held in London, UK. May 29-June 2, 2023)

[W24] M. Kegeleirs, D. Garzón Ramos, L. Garattoni, G. Francesca, M. Birattari (2023).   Automatic off-line design of robot swarms: exploring the transferability of control software and design methods across different platforms.   In M.C. Welle et al. (Eds.) Transferability in Robotics, ICRA 2023. (Conference held in London, UK. June 2, 2023)

[J74] A. Ligot and M. Birattari (2022).   On using simulation to predict the performance of robot swarms.   Scientific Data, 9:788

[J72] A. Ligot, A. Cotorruelo, E. Garone, and M. Birattari (2022).   Towards an empirical practice in off-line fully-automatic design of robot swarms.   IEEE Transactions on Evolutionary Computation, 26(6):1236-1245

Last update: Feb 19, 2024