Papers

Alessandro Palmas (2025). Reinforcement Learning for Decision-Level Interception Prioritization in Drone Swarm Defense. arXiv preprint (cs.LG).

Alessandro Urru, Michele Spanu, Enrico Congiu, Alessandro Palmas, Pietro Andronico (2023). Performance Index of a Network of Ground-Based Optical Sensors for Space Objects Observation and Measurements. Advances in Space Research.

Alessandro Palmas (2022). DIAMBRA Arena: a New Reinforcement Learning Platform for Research and Experimentation. arXiv preprint (cs.LG).

Giulio Avanzini, Fabrizio Giulietti, Alessandro Palmas, Danilo Zona (2022). Application of Singular Perturbation Theory to Space Flight Dynamics Problems. 73th International Astronautical Congress (IAC).

Alessandro Palmas, Pietro Andronico (2022). Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processing. NATO AVT-353 Research Workshop “Artificial Intelligence in Cockpits for UAVs”.

Alessandro Palmas, Emanuele Ghelfi, Alexandra Galina Petre, Mayur Kulkarni, Anand N.S., Quan Nguyen, Aritra Sen, Anthony So, Saikat Basak (2020). The Reinforcement Learning Workshop - Chapters 3, 4 and 7. Packt - ISBN: 9781800200456.

Alessandro Urru, Davide Piras, Alessandro Palmas (2019). Data Fusion Algorithms to Improve Test Range Sensors Accuracy and Precision. 2019 International Conference on Range Technology (ICORT).

Ilaria Giovagnorio, Daniela Usai, Alessandro Palmas, Giovanni Marco Chiri (2017). The Environmental Elements Of Foundations In Roman Cities: A Theory Of The Architect Gaetano Vinaccia. Sustainable Cities and Society.

Giulio Avanzini, Alessandro Palmas, Elena Vellutini (2015). Solution of Low-Thrust Lambert Problem with Perturbative Expansions of Equinoctial Elements. Journal of Guidance, Control, and Dynamics.

Federico Zuiani, Massimiliano Vasile, Alessandro Palmas, Giulio Avanzini (2012). Direct Transcription of Low-Thrust Trajectories with Finite Trajectory Elements. Acta Astronautica.