List of publications

  • Journal papers

    A. Ligot , J.Kuckling, D. Bozhinoski and M. Birattari (2020). Automatic modular design of robot swarms using behavior trees as a control architecture. PeerJ Computer Science, 6:e314. [PDF]

    M. Birattari, A. Ligot , and K. Hasselmann (2020). Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms. Nature Machine Intelligence, 2(9):494–499. [PDF]

    A. Ligot and M. Birattari (2020). Simulation-only experiments to mimic the effects of the reality gap in the automatic design of robot swarms. Swarm Intelligence, 14(1):1-24

    A. Roli, A. Ligot and M. Birattari (2019). Complexity measures: questions and novel opportunities in the automatic design and analysis of robot swarms. Frontiers in Robotics and AI, 6(130):1-8. [PDF]

    M. Salman, A. Ligot, and M. Birattari (2019). Concurrent design of control software and configuration of hardware for robot swarms under economic constraints. PeerJ Computer Science, 5:e221. [PDF]

    M. Birattari, A. Ligot, D. Bozhinoski, M. Brambilla, G. Francesca, L. Garattoni, D. Garzón Ramos, K. Hasselmann, M. Kegeleirs, J. Kuckling, F. Pagnozzi, A. Roli, M. Salman, and T. Stützle (2019). Automatic off-line design of robot swarms: a manifesto. Frontiers in Robotics and AI, 6(59):1-6. [PDF]

    Book chapters

    M. Birattari, A. Ligot, and G. Francesca (2020). AutoMoDe: a modular approach to the automatic off-line design and fine-tuning of control software for robot swarms. In N. Pillay and R. Qu (Eds.) Automated Machine Learning and Search Algorithms. Springer, Cham, Switzerland. In press.

    Conference papers

    A. Ligot , K. Hasselmann and M. Birattari (2020). AutoMoDe-Arlequin: neural networks as behavioral modules for the automatic design of probabilistic finite state machines. In M. Dorigo et al. (Eds.) Swarm Intelligence, 12th International Conference, ANTS 2020. LNCS. Springer International Publishing, Cham, Switzerland. (Virtual conference initially to be held in Barcelona, Spain. October 26-28, 2020)

    A. Ligot and M. Birattari (2018). On mimicking the effects of the reality gap with simulation-only experiments. In M. Dorigo et al. (Eds.) Swarm Intelligence, 11th International Conference, ANTS 2018. LNCS 11172, pp. 109-122. Springer International Publishing, Cham, Switzerland. (Conference held in Rome, Italy. October 29-31, 2018)

    J. Kuckling, A. Ligot , D. Bozhinoski, and M. Birattari (2018). Behavior trees as a control architecture in the automatic modular design of robot swarms. In M. Dorigo et al. (Eds.) Swarm Intelligence, 11th International Conference, ANTS 2018. LNCS 11172, pp. 30-43. Springer International Publishing, Cham, Switzerland. (Conference held in Rome, Italy. October 29-31, 2018)

    A. Roli, A. Ligot, M. Birattari. Complexity measures in automatic design of robot swarms: an exploratory study. In Artificial Life and Evolutionary Computation - Proceedings of WIVACE 2017, Vol. 830 of Communications in Computer and Information Science, Springer. 2018.

    Technical reports

    K. Hasselmann, A. Ligot, G. Francesca , M. Birattari. Reference models for AutoMoDe. TR/IRIDIA/2018-002, Université Libre de Bruxelles, Belgium. 2018. [PDF]

    A. Ligot, K. Hasselmann, B. Delhaisse, L. Garattoni, G. Francesca, M. Birattari. AutoMoDe, NEAT, and EvoStick: implementations for the e-puck robot in ARGoS3. TR/IRIDIA/2017-002, Université Libre de Bruxelles, Belgium. 2017. [PDF]