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CORDIS - Risultati della ricerca dell’UE
CORDIS

Bringing AI Planning to the European AI On-Demand Platform

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Analytics on Call for innovators (si apre in una nuova finestra)

Summary report of the Open call results, including all relevant statistics.

Ethics and IPR Assessment (si apre in una nuova finestra)

The related report will identify ethics issues as well as issues about protection of personal data and issues about informed consent procedures, respecting GDPR European and national rules. The IPR policy of the project will be also presented.

AIPlan4EU Dissemination Report (si apre in una nuova finestra)

This report will collect all the activities and results achieved by the AIPlan4EU Dissemination and Training actions as well as the activities and results achieved by the AIPlan4EU Communication actions.

Evaluation Report (si apre in una nuova finestra)

This deliverable describes the results of the evaluation on Planning Engines, TSBs and the UPF.

Training and education material on UPF platform extension (si apre in una nuova finestra)

Open training and educational material on planning technologies available in the platform.

Infrastructure Description (si apre in una nuova finestra)

This document presents the infrastructure decisions for the development of the UPF and their rationale showing how the choices have been motivated by the usecases balanced with technological constraints from the partners

Report on Sprint-Demo program (si apre in una nuova finestra)

Report document on the outcomes of the sprint-demo program and third-party outputs.

Documentation of UPF platform extension (si apre in una nuova finestra)

Open documentation on the UPF platform extension and of the uploaded planning engines

Final Requirements Document (si apre in una nuova finestra)

This document formalizes and details the requirements for the UPF, elicited by both internal and external use-cases.

Planning Engines Report (si apre in una nuova finestra)

The document describes the output of tasks T4.[1-6] detailing how and which planners have been integrated in the UPF.

Evaluation Infrastructure Description (si apre in una nuova finestra)

The final version of the TSBs and their implementation, matured and improved with respect to D5.1 by the use-case experiments and experiences with their respective TSBs, is provided (implementation) and documented (report).

Call documentation (si apre in una nuova finestra)

Open Call kit, comprises Guidelines for Applicants, F6S application, template for the declaration of honor, template of the sub-grantee agreement and FAQ. Updates before the publication of each of the calls (both use-case and innovators).

UPF Self-Configuration Report (si apre in una nuova finestra)

This document describes the R&D work of T3.4 to find the best self-configuration mechanism for the UPF and explains both the theory and the technicalities of the implemented approach.

Report on use-case workshops (si apre in una nuova finestra)

Report document on the outcomes of the sprint-demo program and third-party outputs.

UPF Usage Guidelines (si apre in una nuova finestra)

This document describes the usage guidelines for a practitioner to take advantage of the UPF. The document illustrates how to better select the API modalities and how to model different problems within the framework.

UPF Design (si apre in una nuova finestra)

This deliverable describes the design and architecture of the UPF and poses the prescriptions for the integration of planning engines and TSBs.

Internal Requirements Document (si apre in una nuova finestra)

This document formalizes and details the requirements for the UPF elicited from use-cases internal to the consortium.

Analytics on Call for use-cases (si apre in una nuova finestra)

Summary report of the Open call results including all relevant statistics

AIPlan4EU brand toolbox (si apre in una nuova finestra)

A toolbox will contain all the marketing templates and materials to be used by all the partners for the AIPlan4EU dissemination and communication

First Prototype of the UPF Platform Extension (si apre in una nuova finestra)

A fist prototype of the UPF integrated in the AI4EU platform is released for testing purposes and to be used by the opencalls winners

UPF Final Implementation (si apre in una nuova finestra)

This deliverable consists of the UPF implementation providing the basis for the integrations of both Planning Engines and TSBs. The development of the UPF will be iterative with two major releases expected at months 12 and 30.

UPF First Prototype (si apre in una nuova finestra)

A first iteration of the UPF implementation is released for testing and integration purposes and to be used by the opencalls winners

Final UPF Platform Extension (si apre in una nuova finestra)

UPF integrated in the European AI on-demand platform. Released in three versions: v1, to be used in Task 7.3; v2, to be used in Task 7.4; v3, final.

Repository of the Test Cases (si apre in una nuova finestra)

This deliverable contains a digitalized collection of the test cases and their description for each planning integration activity

Repository of the Planning Engines (si apre in una nuova finestra)

This is a live repository that is updated throughout the entire evolution of the project It contains all planning engines developed by the platform with a brief abstract of their use More information on the documents

Project Communication Platform and Archive (si apre in una nuova finestra)

It includes the initial version of Project website and communication channels social channels like Instagram Twitter LinkedIn page etc to provide early information about the project and that will be evolved as part of WP8

Pubblicazioni

On Producing Shortest Cost-Optimal Plans

Autori: Michael Katz, Gabriele Roger, Malte Helmert
Pubblicato in: Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022, Pagina/e 100 - 108
Editore: AAAI Press

Planning for Learning Object Properties

Autori: Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia, Alessandro Saffiotti, Alessandro Saetti, Alfonso Gerevini and Paolo Traverso
Pubblicato in: AAAI, 2023
Editore: AAAI Press

Unified Planning: A Python Library Making Planning Technology Accessible

Autori: Andrea Micheli, Alexandre Arnold, Arthur Bit-Monnot, Luigi Bonassi, Luca Framba, Alfonso Gerevini, Selvakumar Hastham Sathiya Satchi, Malte Helmert, Félix Ingrand, Luca Iocchi, Uwe Köckemann, Oscar Lima, Fabio Patrizi, Federico Pecora, Guillaume Poveda, Gabriele Röger, Alessandro Saetti, Alessandro Saffiotti, Enrico Scala, Ivan Serina, Sebastian Stock, Florent Teichteil-Koenigsbuch, Alessandro
Pubblicato in: 2022
Editore: ICAPS Conference Proceedings

A formalization of multi-agent planning with explicit agent representation (si apre in una nuova finestra)

Autori: Alessandro Trapasso; Sofia Santilli; Luca Iocchi; Fabio Patrizi
Pubblicato in: SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023, Pagina/e 816–823, ISBN 9781450395175
Editore: Association for Computing Machinery
DOI: 10.1145/3555776.3577753

On the Compilability of Bounded Numeric Planning (si apre in una nuova finestra)

Autori: Nicola Gigante, Enrico Scala
Pubblicato in: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023, Pagina/e 5341-5349
Editore: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2023/593

Mobipick Labs System Demonstration

Autori: Oscar Lima, Martin Günther, Alexander Sung, Sebastian Stock, Marc Vinci, Amos Smith, Jan Christoph Krause and Joachim Hertzberg
Pubblicato in: ICAPS 2023 System Demonstrations, 2023
Editore: Informal

On the Expressive Power of Intermediate and Conditional Effects in Temporal Planning (si apre in una nuova finestra)

Autori: Nicola Gigante, Andrea Micheli, Enrico Scala
Pubblicato in: Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022, Pagina/e 174 - 183, ISBN 978-1-956792-01-0
Editore: IJCAI Organization
DOI: 10.24963/kr.2022/18

Filuta: Operationalized Composite AI Platform

Autori: Filip Dvorak, Tomas Balyo, Slavomir Svancar, Josef Ryzi, Martin Dousek and Michal Ficek
Pubblicato in: ICAPS 2023 System Demonstrations, 2023
Editore: Informal

A Physics-Based Simulated Robotics Testbed for Planning and Acting Research

Autori: Oscar Lima, Martin Günther, Alexander Sung, Sebastian Stock, Marc Vinci, Amos Smith, Jan Christoph Krause and Joachim Hertzberg
Pubblicato in: 33rd International Conference on Automated Planning and Scheduling (ICAPS 2023) PlanRob Workshop, 2023
Editore: Informal

Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic (si apre in una nuova finestra)

Autori: Bonassi, Luigi; De Giacomo, Giuseppe; Favorito, Marco; Fuggitti, Francesco; Gerevini, Alfonso Emilio; Scala, Enrico
Pubblicato in: Proceedings of the International Conference on Automated Planning and Scheduling, 2023, Pagina/e 61-69, ISBN 1-57735-881-3
Editore: AAAI Press
DOI: 10.1609/icaps.v33i1.27179

Expressive Optimal Temporal Planning via Optimization Modulo Theory (si apre in una nuova finestra)

Autori: Stefan Panjkovic; Andrea Micheli
Pubblicato in: AAAI, 2023
Editore: AAAI Press
DOI: 10.1609/aaai.v37i10.26426

Modelling automated industrial experiments as incremental diverse AI planning problems

Autori: Antonio Lomuscio, Franci Rrapi, Pierfrancesco Esposito, Sofia Santilli, Alessandro Trapasso, Luca Iocchi, Fabio Patrizi and Fabio Zonfrilli
Pubblicato in: 2022
Editore: Informal

The AI Domain Definition Language (AIDDL) - Three Use Cases for Integrated Planning, Reasoning, and Learning

Autori: Uwe Köckemann
Pubblicato in: ICAPS 2022 KEPS Workshop, 2022
Editore: Informal

A novel algorithm for parallelizing actions of a sequential plan

Autori: Sofia Santilli, Alessandro Trapasso, Luca Iocchi, Fabio Patrizi
Pubblicato in: ICAPS 2023 PlanRob Workshop, 2023
Editore: Informal

A Closed-Loop Framework-Independent Bridge from AIPlan4EU's Unified Planning Platform to Embedded Systems

Autori: Hastham Sathiya Satchi Sadanandam, Selvakumar; Stock, Sebastian; Sung, Alexander; Ingrand, Félix; Lima, Oscar; Vinci, Marc; Hertzberg, Joachim
Pubblicato in: 33rd International Conference on Automated Planning and Scheduling (ICAPS 2023) PlanRob Workshop, 2023
Editore: Informal

AIPlan4EU: Planning and Scheduling for Space Applications

Autori: Konstantinos Kapellos, Andrea Micheli, Alessandro Valentini
Pubblicato in: 16th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA) 2023, 2023
Editore: European Space Agency

Encouraging AI Adoption by SMEs: Opportunities and Contributions by the ICT49 Project Cluster (si apre in una nuova finestra)

Autori: Ourania Markaki, Aikaterini Papapostolou, Spiros Mouzakitis, Izabela Zrazinska, Urszula Sobek, Thomas Wilczek, Antonis Troumpoukis, Xenia Ziouvelou, Vangelis Karkaletsis, Alexandra Carrasco Szulc, Miriam Garcia, Gabriele Röger, Andrea Micheli, Jaime Alessandro Codagnone, Miguel de Prado, Siobhán O'Neill
Pubblicato in: International Conference on Information, Intelligence, Systems and Applications (IISA) 2023, 2023
Editore: IEEE
DOI: 10.1109/iisa59645.2023.10345867

Deciding Unsolvability in Temporal Planning under Action Non-Self-Overlapping (si apre in una nuova finestra)

Autori: Stefan Panjkovic, Andrea Micheli, Alessandro Cimatti
Pubblicato in: Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022, ISBN 1-57735-876-7
Editore: AAAI Press
DOI: 10.1609/aaai.v36i9.21225

Planning for Automated Testing of Implicit Constraints in Behavior Trees (si apre in una nuova finestra)

Autori: Uwe Köckemann, Daniele Calisi, Guglielmo Gemignani, Jennifer Renoux, and Alessandro Saffiotti
Pubblicato in: Proceedings of the International Conference on Automated Planning and Scheduling, 2023, Pagina/e 649-658, ISBN 1-57735-881-3
Editore: AAAI Press
DOI: 10.1609/icaps.v33i1.27247

An Autonomous Underwater Architecture for Long-term Deep-Ocean Inspection with Opportunistic (Re)planning (si apre in una nuova finestra)

Autori: Elisa Tosello, Paolo Bonel, Alberto Buranello, Marco Carraro, Alessandro Cimatti, Lorenzo Granelli, Stefan Panjkovic, Andrea Micheli
Pubblicato in: IEEE Robotics and Automation Magazine, 2024, Pagina/e 72-83, ISSN 1070-9932
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mra.2024.3352810

Decidability and complexity of action-based temporal planning over dense time (si apre in una nuova finestra)

Autori: Nicola Gigante, Andrea Micheli, Angelo Montanari, Enrico Scala
Pubblicato in: Artificial Intelligence, Numero 307, 2022, ISSN 0004-3702
Editore: Elsevier BV
DOI: 10.1016/j.artint.2022.103686

Futterernte - Entspanntes und präzises Ernten durch planbasierte Künstliche Intelligenz

Autori: Jonathan Schulze Buschhoff
Pubblicato in: Eilbote, 2024
Editore: Eilbote

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