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. [PDF]   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. [PDF]   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.[PDF]   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.[PDF]   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.[PDF]   SN Computer Science, 3:136

Last update: Jun 11, 2023