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Scientific Data|December 29, 2022
On Using Simulation to Predict the Performance of Robot SwarmsAntoine Ligot, Mauro BirattariFrontiers in Robotics and AI|January 27, 2021
Complexity Measures: Open Questions and Novel Opportunities in the Automatic Design and Analysis of Robot SwarmsAndrea Roli, Antoine Ligot, Mauro BirattariPeerj. Computer Science|April 5, 2021
Concurrent design of control software and configuration of hardware for robot swarms under economic constraintsMuhammad Salman, Antoine Ligot, Mauro BirattariPeerj. Computer Science|April 5, 2021
Automatic modular design of robot swarms using behavior trees as a control architectureAntoine Ligot, Jonas Kuckling, Darko Bozhinoski, et al.Nature Communications|July 17, 2021
Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarmsKen Hasselmann, Antoine Ligot, Julian Ruddick, et al.Science Robotics|November 3, 2020
Autonomous task sequencing in a robot swarmLorenzo Garattoni, Mauro BirattariPeerj. Computer Science|April 5, 2021
Modular automatic design of collective behaviors for robots endowed with local communication capabilitiesKen Hasselmann, Mauro BirattariOpen Research Europe|August 30, 2023
Towards an integrated automatic design process for robot swarmsDarko Bozhinoski, Mauro BirattariFrontiers in Robotics and AI|May 17, 2021
Off-Policy Evaluation of the Performance of a Robot Swarm: Importance Sampling to Assess Potential Modifications to the Finite-State Machine That Controls the RobotsFederico Pagnozzi, Mauro BirattariFrontiers in Robotics and AI|June 30, 2025
Towards applied swarm robotics: current limitations and enablersMiquel Kegeleirs, Mauro BirattariPageof 2