Publications
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Micheli Andrea,
Against the Clock: Lessons Learned by Applying Temporal Planning in Practice, AIxIA 2024 – Advances in Artificial Intelligence, vol. 15450, 2025, pp. 1-11, DOI: 10.1007/978-3-031-80607-0_1
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Micheli Andrea; Bit-Monnot Arthur; Röger Gabriele; Scala Enrico; Valentini Alessandro; Framba Luca; Rovetta Alberto; Trapasso Alessandro; Bonassi Luigi; Gerevini Alfonso Emilio; Iocchi Luca; Ingrand Felix; Köckemann Uwe; Patrizi Fabio; Saetti Alessandro; Serina Ivan; Stock Sebastian,
Unified Planning: Modeling, manipulating and solving AI planning problems in Python, in «SOFTWAREX», vol. 29, 2025, DOI: 10.1016/j.softx.2024.102012, ISSN: 2352-7110
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La Farciola Alessandro; Valentini Alessandro; Micheli Andrea,
Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, n. 25, 2025, pp. 26579-26586, DOI: 10.1609/aaai.v39i25.34859
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Tosello Elisa; Valentini Alessandro; Micheli Andrea,
Temporal Task and Motion Planning with Metric Time for Multiple Object Navigation, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, n. 25, 2025, pp. 26716-26724, DOI: 10.1609/aaai.v39i25.34874
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Tosello Elisa; Bonel Paolo; Buranello Alberto; Carraro Marco; Cimatti Alessandro; Granelli Lorenzo; Panjkovic Stefan; Micheli Andrea,
Opportunistic (Re)planning for Long-Term Deep-Ocean Inspection: An Autonomous Underwater Architecture, in «IEEE ROBOTICS AND AUTOMATION MAGAZINE», vol. 31, n. 1, 2024, pp. 72-83, DOI: 10.1109/MRA.2024.3352810, ISSN: 1070-9932
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Panjkovic Stefan; Micheli Andrea,
Abstract Action Scheduling for Optimal Temporal Planning via OMT, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, n. 18, 2024, pp. 20222-20229, DOI: 10.1609/aaai.v38i18.30002
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Tosello Elisa; Valentini Alessandro; Micheli Andrea,
A Meta-Engine Framework for Interleaved Task and Motion Planning using Topological Refinements, Proceedings of 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain, Volume 392, vol. 392, 2024, pp. 4377-4384, DOI: 10.3233/faia241015
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Avi Arrigo; Quaranta Giuseppe; Valentini Alessandro,
AI-assisted Design of UAV Docking Station Network for Dual Use Purposes, Proceedings of the Thirty-Fourth Congress of the International Council of the Aeronautical Sciences (ICAS 2024), 2024
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Sumic Ajdin; Cimatti Alessandro; Micheli Andrea; Vidal Thierry,
SMT-Based Repair of Disjunctive Temporal Networks with Uncertainty: Strong and Weak Controllability, Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 21st International Conference, {CPAIOR} 2024, Uppsala, Sweden, May 28-31, 2024, Proceedings, Part II, 2024, pp. 176-192, DOI: 10.1007/978-3-031-60599-4_11
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Sumic Ajdin; Vidal Thierry; Micheli Andrea; Cimatti Alessandro,
Introducing Interdependent Simple Temporal Networks with Uncertainty for Multi-Agent Temporal Planning, Proceedings of 31st International Symposium on Temporal Representation and Reasoning (TIME) 2024, 2024, DOI: 10.4230/lipics.time.2024.13
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Shukla Vandita; Morelli Luca; Remondino Fabio; Micheli Andrea; Tuia Devis; Risse Benjamin,
Towards Estimation of 3D Poses and Shapes of Animals from Oblique Drone Imagery, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLVIII-2-2024, in «INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES», vol. XLVIII-2-2024, 2024, pp. 379-386, DOI: 10.5194/isprs-archives-xlviii-2-2024-379-2024, ISSN: 2194-9034
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Panjkovic Stefan; Micheli Andrea,
Expressive Optimal Temporal Planning via Optimization Modulo Theory, Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI2023, vol. 37, n. 10, 2023, pp. 12095-12102, DOI: 10.1609/aaai.v37i10.26426
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Bozzano Marco; Bussola Riccardo; Cristoforetti Marco; Goyal Srajan; Jonas Martin; Kapellos Konstantinos; Micheli Andrea; Soldà Davide; Tonetta Stefano; Tranoris Christos; Valentini Alessandro,
RobDT: AI-enhanced Digital Twin for Space Exploration Robotic Assets, The Use of Artificial Intelligence for Space Applications. Workshop at the 2022 International Conference on Applied Intelligence and Informatics, vol. 1088, 2023, pp. 183-198, DOI: 10.1007/978-3-031-25755-1_12
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De Benedictis Riccardo; Castiglioni Matteo; Ferraioli Diodato; Malvone Vadim; Maratea Marco; Scala Enrico; Serafini Luciano; Serina Ivan; Tosello Elisa; Umbrico and Mauro Vallati Alessandro,
IPS 2023, RCRA 2023, and SPIRIT 2023 Workshops. Planning and Scheduling 2023, Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion 2023, and Strategies, Prediction, Interaction, and Reasoning in Italy 2023, 2023
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A. Gottardi, S. Tortora, E. Tosello, E. Menegatti,
Shared Control in Robot Teleoperation With Improved Potential Fields, IEEE Transactions on Human-Machine Systems, vol. 52, n. 3, June 2022, pp. 410-422, DOI: 10.1109/THMS.2022.3155716
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A. Franceschetti, E. Tosello, N. Castaman, S. Ghidoni,
Robotic Arm Control and Task Training Through Deep Reinforcement Learning, Intelligent Autonomous Systems 16, vol. 412, 2022, pp. 532-550, DOI: https://doi.org/10.1007/978-3-030-95892-3_41
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Autonomous Robotics (AuR) Ontology Working Group,
IEEE Standard number P1872.2, 2022
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L. Tagliapietra, E. Tosello, E. Pagello, E. Menegatti,
Planning Domain Definition Language Generator, Interpreter, and Knowledge Base for Efficient Automated Planning, Intelligent Autonomous Systems 16, vol. 412, 2022, DOI: https://doi.org/10.1007/978-3-030-95892-3_43
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Gigante Nicola; Micheli Andrea; Montanari Angelo; Scala Enrico,
Decidability and Complexity of Action-Based Temporal Planning over Dense Time, in «ARTIFICIAL INTELLIGENCE», vol. 307, 2022, DOI: 10.1016/j.artint.2022.103686, ISSN: 0004-3702
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Panjkovic Stefan; Micheli Andrea; Cimatti Alessandro,
Deciding Unsolvability in Temporal Planning under Action Non-Self-Overlapping, Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI2022, 2022
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Gigante Nicola; Micheli Andrea; Scala Enrico,
On the Expressive Power of Intermediate and Conditional Effects in Temporal Planning, Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022, pp. 174-183, DOI: 10.24963/kr.2022/18
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Gottardi Alberto; Tortora Stefano; Tosello Elisa; Menegatti Emanuele,
Shared Control in Robot Teleoperation With Improved Potential Fields, in «IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS», vol. 52, n. 3, 2022, pp. 410-422, DOI: 10.1109/THMS.2022.3155716, ISSN: 2168-2291
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Tagliapietra Luca; Tosello Elisa; Pagello Enrico; Menegatti Emanuele,
A Planning Domain Definition Language Generator, Interpreter, and Knowledge Base for Efficient Automated Planning, Intelligent Autonomous Systems 16 Proceedings of the 16th International Conference IAS-16, 2022, pp. 563-579, DOI: 10.1007/978-3-030-95892-3_43
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Franceschetti Andrea; Tosello Elisa; Castaman Nicola; Ghidoni Stefano,
Robotic Arm Control and Task Training Through Deep Reinforcement Learning, Intelligent Autonomous Systems 16 Proceedings of the 16th International Conference IAS-16, 2022, pp. 532-550, DOI: 10.1007/978-3-030-95892-3_41
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P. J.S. Gonçalves, A. Olivares Alarcos, J. Bermejo-Alonso, S. Borgo, M. Diab, M. Habib, H. Kumar Nakawala, S. V. Ragavan, R. Sanz, E. Tosello, H. Li,
IEEE Standard for Autonomous Robotics Ontology, IEEE Robotics & Automation Magazine, vol. 28, n. 3, Sept. 2021, pp. 171-173, DOI: 10.1109/MRA.2021.3095993
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N. Castaman, E. Tosello, M. Antonello, N. Bagarello, S. Gandin, M. Carraro, M. Munaro, R. Bortoletto, S. Ghidoni, E. Menegatti, E. Pagello,
RUR53: an unmanned ground vehicle for navigation, recognition, and manipulation, Advanced Robotics, vol. 35, n. 1, 2021, pp. 1-18, DOI: 10.1080/01691864.2020.1833752
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Syifa'ul Mufid Muhammad; Micheli Andrea; Abate Alessandro; Cimatti Alessandro,
SMT-Based Model Checking of Max-Plus Linear Systems, 32nd International Conference on Concurrency Theory (CONCUR 2021), 2021, DOI: 10.4230/lipics.concur.2021.22
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Cashmore Michael; Cimatti Alessandro; Magazzeni Daniele; Micheli Andrea; Zehtabi Parisa,
Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans, Proceedings of 13:1--13:128th International Symposium on Temporal Representation and Reasoning (TIME 2021), 2021, pp. 13:1-13:14, DOI: 10.4230/lipics.time.2021.13, Schloss Dagstuhl -- Leibniz-Zentrum fur Informatik
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Ribeiro Tomás; Lima Oscar; Cashmore Michael; Micheli Andrea; Ventura Rodrigo,
Olisipo: A Probabilistic Approach to the Adaptable Execution of Deterministic Temporal Plans, Proceedings of 28th International Symposium on Temporal Representation and Reasoning, vol. 206, 2021, pp. 15:1-15:15, DOI: 10.4230/lipics.time.2021.15, Schloss Dagstuhl -- Leibniz-Zentrum fur Informatik
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Micheli Andrea; Valentini Alessandro,
Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning, Proceedings of Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI2021, Technical Tracks, vol. 35, n. 13, 2021, pp. 11895-11902, AAAI Press
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Shehaj Leone Bernald Benedetto; Bozzoli Alessandro; Mulloni Viviana; Lorenzelli Leandro; Micheli Andrea,
Sistema robotico olfattivo, 2021
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Castaman Nicola; Tosello Elisa; Antonello Morris; Bagarello Nicola; Gandin Silvia; Carraro Marco; Munaro Matteo; Bortoletto Roberto; Ghidoni Stefano; Menegatti Emanuele; Pagello Enrico,
{RUR}53: an unmanned ground vehicle for navigation, recognition, and manipulation, in «ADVANCED ROBOTICS», vol. 35, n. 1, 2021, pp. 1-18, DOI: 10.1080/01691864.2020.1833752, ISSN: 0169-1864
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E. P. de Freitas, J. I. Olszewska, J. L. Carbonera, S. R. Fiorini, A. Khamis, S. V. Ragavan, M. Barreto, E. Prestes, M. K. Habib, S. Redfield, A. Chibani, P. Goncalves, J. Bermejo-Alonso, R. Sanz, E. Tosello, H. Li, A. Olivares-Alarco,
Ontological concepts for information sharing in cloud robotics, Journal of Ambient Intelligence and Humanized Computing, vol. 14, 2020, pp. 4921-4932, DOI: https://doi.org/10.1007/s12652-020-02150-4
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L. Tagliapietra, E. Tosello, E. Menegatti,
CURAMI: Human-Robot Collaboration for Intelligent Assembly Tasks, 2020
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G. Nicola, L. Tagliapietra, E. Tosello, N. Navarin, S. Ghidoni, E. Menegatti,
Robotic Object Sorting via Deep Reinforcement Learning: a generalized approach, The 29th IEEE International Conference on Robot and Human Interactive Communication (IEEE ROMAN 2020); Proceedings of, 2020, pp. 1266-1273, DOI: 10.1109/RO-MAN47096.2020.9223484
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Valentini Alessandro; Micheli Andrea; Cimatti Alessandro,
Temporal Planning with Intermediate Conditions and Effects, Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), vol. 34, n. 6, 2020, AAAI Press
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Gigante Nicola; Micheli Andrea; Montanari Angelo; Scala Enrico,
Decidability and Complexity of Action-Based Temporal Planning over Dense Time, Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020, DOI: 10.1609/aaai.v34i06.6539, AAAI Press
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Abate Alessandro; Cimatti Alessandro; Micheli Andrea; Mufid Muhammad Syifa’ul,
Computation of the Transient in Max-Plus Linear Systems via SMT-Solving, Formal Modeling and Analysis of Timed Systems - 18th International Conference, FORMATS 2020, Vienna, Austria, September 1-3, 2020, Proceedings, vol. 12288, 2020, pp. 161-177, DOI: 10.1007/978-3-030-57628-8_10
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Tosello E.; Castaman N.; Michieletto S.; Menegatti E.,
Teaching Robot Programming for Industry 4.0, Educational Robotics in the Context of the Maker Movement, vol. 946 AISC, 2020, pp. 107-119, DOI: 10.1007/978-3-030-18141-3_9
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Pignaton de Freitas Edison; Olszewska Joanna Isabelle; Carbonera Joel Luís; Fiorini Sandro R.; Khamis Alaa; Ragavan S. Veera; Barreto Marcos E.; Prestes Edson; Habib Maki K.; Redfield Signe; Chibani Abdelghani; Goncalves Paulo; Bermejo-Alonso Julita; Sanz Ricardo; Tosello Elisa; Olivares-Alarcos Alberto; Konzen Andrea Aparecida; Quintas João; Li Howard,
Ontological concepts for information sharing in cloud robotics, in «JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING», vol. 14, n. 5, 2020, pp. 4921-4932, DOI: 10.1007/s12652-020-02150-4, ISSN: 1868-5137
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Nicola Giorgio; Tagliapietra Luca; Tosello Elisa; Navarin Nicolo; Ghidoni Stefano; Menegatti Emanuele,
Robotic Object Sorting via Deep Reinforcement Learning: a generalized approach, Proceedings of 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2020, 2020, pp. 1266-1273, DOI: 10.1109/ro-man47096.2020.9223484
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F. Ceola, E. Tosello, L. Tagliapietra, G. Nicola, S. Ghidoni,
Robot Task Planning via Deep Reinforcement Learning: a Tabletop Object Sorting Application, 2019 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2019); Proceedings of, 2019, pp. 486-492, DOI: 10.1109/SMC.2019.8914278
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L. Fortunati, J. Höflich, A. M. Manganelli, E. Tosello, G. Ferrin,
The uncanny theory under scrutiny, 10th Italian Forum Ambient Assisted Living (ForItAAL); Proceedings of, 2019
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A. Dalla Libera, E. Tosello, S. Ghidoni, G. Pillonetto, R. Carli,
Proprioceptive Robot Collision Detection through Gaussian Process Regression, 2019 American Control Conference (ACC); Proceedings of, 2019, pp. 19-24, DOI: 10.23919/ACC.2019.8814361}
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Micheli Andrea; Scala Enrico,
Temporal Planning with Temporal Metric Trajectory Constraints, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019, pp. 7675-7682, AAAI Press
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Cashmore Michael; Cimatti Alessandro; Magazzeni Daniele; Micheli Andrea; Zehtabi Parisa,
Robustness Envelopes for Temporal Plans, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), vol. 33, 2019, DOI: 10.1609/aaai.v33i01.33017538
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Ceola F.; Tosello E.; Tagliapietra L.; Nicola G.; Ghidoni S.,
Robot task planning via deep reinforcement learning: A tabletop object sorting application, Proceedings of IEEE International Conference on Systems, Man and Cybernetics, vol. 2019-October, 2019, pp. 486-492, DOI: 10.1109/SMC.2019.8914278
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Dalla Libera A.; Tosello E.; Pillonetto G.; Ghidoni S.; Carli R.,
Proprioceptive robot collision detection through Gaussian process regression, Proceedings of 2019 American Control Conference, 2019, pp. 19-24
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Tosello E.; Castaman N.; Menegatti E.,
Using robotics to train students for Industry 4.0, 12th IFAC Symposium on Advances in Control Education ACE 2019, vol. 52, n. 9, 2019, pp. 153-158, DOI: 10.1016/j.ifacol.2019.08.185
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E. Tosello, N. Castaman, S. Michieletto E. Menegatti,
Teaching Robot Programming for Industry 4.0, International Conference Educational Robotics 2018 (EduRobotics 2018); Proceedings of., 2018, pp. 107-119, ISSN: 978-3-030-18141-3