Some recent publications

[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

[J71] J. Kuckling, V. van Pelt, and M. Birattari (2022)   AutoMoDe-Cedrata: Automatic design of behavior trees for controlling a swarm of robots with communication capabilities.   SN Computer Science, 3:136

Last update: Jun 11, 2023