Publications

2018
DOI
[bibtex]
Francesco Leofante, Erika Abraham, Tim Niemueller, Gerhard Lakemeyer, Armando Tacchella. Integrated Synthesis and Execution of Optimal Plans for Multi-Robot Systems in Logistics. Information Systems Frontiers, pages 1-21, 2018.

[bibtex]
Stefan Schupp, Francesco Leofante, Erika Abraham, Armando Tacchella. Robot Swarms as Hybrid Systems. Proceedings 4th International Workshop on Symbolic and Numerical Methods for Reachability Analysis, SNR@ETAPS 2018, , 2018.
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[bibtex]
Francesco Leofante, Nina Narodytska, Luca Pulina, Armando Tacchella. Automated Verification of Neural Networks: Advances, Challenges and Perspectives. Technical report at RWTH Aachen University number , 2018.
DOI
[bibtex]
Francesco Leofante, Erika Abraham, Armando Tacchella. Task Planning with OMT: An Application to Production Logistics. Integrated Formal Methods - 14th International Conference, IFM 2018, Maynooth, Ireland, September 5-7, 2018, Proceedings, pages 316–325, , 2018.
2017
DOI
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Erika Abraham, Hadas Kress-Gazit, Lorenzo Natale, Armando Tacchella editors. Computer-Assisted Engineering for Robotics and Autonomous Systems (Dagstuhl Seminar 17071). Schloss Dagstuhl–Leibniz-Zentrum für Informatik, Volume 7/2 of Dagstuhl Reports, pages 48–63, 2017.
Link
[bibtex]
Francesco Leofante, Erika Abraham, Tim Niemueller, Gerhard Lakemeyer, Armando Tacchella. On the Synthesis of Guaranteed-Quality Plans for Robot Fleets in Logistics Scenarios via Optimization Modulo Theories. 2017 IEEE International Conference on Information Reuse and Integration, IRI 2017, San Diego, CA, USA, August 4-6, 2017, pages 403–410, IEEE Computer Society, 2017.
2016
DOI
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Francesco Leofante, Simone Vuotto, Erika Abraham, Armando Tacchella, Nils Jansen. Combining Static and Runtime Methods to Achieve Safe Standing-Up for Humanoid Robots. Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques, Part I, Volume 9952 of LNCS, pages 496-514, Springer International Publishing, 2016.
DOI
[bibtex]
Francesco Leofante, Armando Tacchella. Learning in Physical Domains: Mating Safety Requirements and Costly Sampling. AI*IA 2016: Advances in Artificial Intelligence - XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29 - December 1, 2016, Proceedings, Volume 10037 of LNCS, pages 539–552, Springer, 2016.

[bibtex]
Francesco Leofante, Luca Pulina, Armando Tacchella. Learning with Safety Requirements: State of the Art and Open Questions. Proceedings of the 23rd RCRA International Workshop on Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion 2016 (RCRA 2016) A workshop of the XV International Conference of the Italian Association for Artificial, Volume 1745 of CEUR Workshop Proceedings, pages 11–25, CEUR-WS.org, 2016.

[bibtex]
Nicolò Arnaldi, Chiara Barone, Franco Fusco, Francesco Leofante, Armando Tacchella. Autonomous Driving and Undergraduates: an Affordable Setup for Teaching Robotics. Proceedings of the 3rd Italian Workshop on Artificial Intelligence and Robotics - A workshop of the XV International Conference of the Italian Association for Artificial Intelligence, AIRO@AI*IA 2016, Genova, Italy, November 28, 2016., Volume 1834 of CEUR Workshop Proceedings, pages 5–9, CEUR-WS.org, 2016.
2015
Link
[bibtex]
Shashank Pathak, Erika Abraham, Nils Jansen, Armando Tacchella, Joost-Pieter Katoen. A Greedy Approach for the Efficient Repair of Stochastic Models. Proc. of the 7th NASA Formal Methods Symp. (NFM'15), Volume 9058 of LNCS, pages 295–309, Springer, 2015.