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CORDIS - Forschungsergebnisse der EU
CORDIS

Bringing AI Planning to the European AI On-Demand Platform

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Analytics on Call for innovators (öffnet in neuem Fenster)

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

Ethics and IPR Assessment (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Training and education material on UPF platform extension (öffnet in neuem Fenster)

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

Infrastructure Description (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Documentation of UPF platform extension (öffnet in neuem Fenster)

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

Final Requirements Document (öffnet in neuem Fenster)

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

Planning Engines Report (öffnet in neuem Fenster)

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

Evaluation Infrastructure Description (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

UPF Usage Guidelines (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Analytics on Call for use-cases (öffnet in neuem Fenster)

Summary report of the Open call results including all relevant statistics

AIPlan4EU brand toolbox (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Repository of the Planning Engines (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Veröffentlichungen

On Producing Shortest Cost-Optimal Plans

Autoren: Michael Katz, Gabriele Roger, Malte Helmert
Veröffentlicht in: Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022, Seite(n) 100 - 108
Herausgeber: AAAI Press

Planning for Learning Object Properties

Autoren: Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia, Alessandro Saffiotti, Alessandro Saetti, Alfonso Gerevini and Paolo Traverso
Veröffentlicht in: AAAI, 2023
Herausgeber: AAAI Press

Unified Planning: A Python Library Making Planning Technology Accessible

Autoren: 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
Veröffentlicht in: 2022
Herausgeber: ICAPS Conference Proceedings

A formalization of multi-agent planning with explicit agent representation (öffnet in neuem Fenster)

Autoren: Alessandro Trapasso; Sofia Santilli; Luca Iocchi; Fabio Patrizi
Veröffentlicht in: SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023, Seite(n) 816–823, ISBN 9781450395175
Herausgeber: Association for Computing Machinery
DOI: 10.1145/3555776.3577753

On the Compilability of Bounded Numeric Planning (öffnet in neuem Fenster)

Autoren: Nicola Gigante, Enrico Scala
Veröffentlicht in: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023, Seite(n) 5341-5349
Herausgeber: International Joint Conferences on Artificial Intelligence Organization
DOI: 10.24963/ijcai.2023/593

Mobipick Labs System Demonstration

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

On the Expressive Power of Intermediate and Conditional Effects in Temporal Planning (öffnet in neuem Fenster)

Autoren: Nicola Gigante, Andrea Micheli, Enrico Scala
Veröffentlicht in: Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022, Seite(n) 174 - 183, ISBN 978-1-956792-01-0
Herausgeber: IJCAI Organization
DOI: 10.24963/kr.2022/18

Filuta: Operationalized Composite AI Platform

Autoren: Filip Dvorak, Tomas Balyo, Slavomir Svancar, Josef Ryzi, Martin Dousek and Michal Ficek
Veröffentlicht in: ICAPS 2023 System Demonstrations, 2023
Herausgeber: Informal

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

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

Planning for Temporally Extended Goals in Pure-Past Linear Temporal Logic (öffnet in neuem Fenster)

Autoren: Bonassi, Luigi; De Giacomo, Giuseppe; Favorito, Marco; Fuggitti, Francesco; Gerevini, Alfonso Emilio; Scala, Enrico
Veröffentlicht in: Proceedings of the International Conference on Automated Planning and Scheduling, 2023, Seite(n) 61-69, ISBN 1-57735-881-3
Herausgeber: AAAI Press
DOI: 10.1609/icaps.v33i1.27179

Expressive Optimal Temporal Planning via Optimization Modulo Theory (öffnet in neuem Fenster)

Autoren: Stefan Panjkovic; Andrea Micheli
Veröffentlicht in: AAAI, 2023
Herausgeber: AAAI Press
DOI: 10.1609/aaai.v37i10.26426

Modelling automated industrial experiments as incremental diverse AI planning problems

Autoren: Antonio Lomuscio, Franci Rrapi, Pierfrancesco Esposito, Sofia Santilli, Alessandro Trapasso, Luca Iocchi, Fabio Patrizi and Fabio Zonfrilli
Veröffentlicht in: 2022
Herausgeber: Informal

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

Autoren: Uwe Köckemann
Veröffentlicht in: ICAPS 2022 KEPS Workshop, 2022
Herausgeber: Informal

A novel algorithm for parallelizing actions of a sequential plan

Autoren: Sofia Santilli, Alessandro Trapasso, Luca Iocchi, Fabio Patrizi
Veröffentlicht in: ICAPS 2023 PlanRob Workshop, 2023
Herausgeber: Informal

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

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

AIPlan4EU: Planning and Scheduling for Space Applications

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

Encouraging AI Adoption by SMEs: Opportunities and Contributions by the ICT49 Project Cluster (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: International Conference on Information, Intelligence, Systems and Applications (IISA) 2023, 2023
Herausgeber: IEEE
DOI: 10.1109/iisa59645.2023.10345867

Deciding Unsolvability in Temporal Planning under Action Non-Self-Overlapping (öffnet in neuem Fenster)

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

Planning for Automated Testing of Implicit Constraints in Behavior Trees (öffnet in neuem Fenster)

Autoren: Uwe Köckemann, Daniele Calisi, Guglielmo Gemignani, Jennifer Renoux, and Alessandro Saffiotti
Veröffentlicht in: Proceedings of the International Conference on Automated Planning and Scheduling, 2023, Seite(n) 649-658, ISBN 1-57735-881-3
Herausgeber: AAAI Press
DOI: 10.1609/icaps.v33i1.27247

An Autonomous Underwater Architecture for Long-term Deep-Ocean Inspection with Opportunistic (Re)planning (öffnet in neuem Fenster)

Autoren: Elisa Tosello, Paolo Bonel, Alberto Buranello, Marco Carraro, Alessandro Cimatti, Lorenzo Granelli, Stefan Panjkovic, Andrea Micheli
Veröffentlicht in: IEEE Robotics and Automation Magazine, 2024, Seite(n) 72-83, ISSN 1070-9932
Herausgeber: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mra.2024.3352810

Decidability and complexity of action-based temporal planning over dense time (öffnet in neuem Fenster)

Autoren: Nicola Gigante, Andrea Micheli, Angelo Montanari, Enrico Scala
Veröffentlicht in: Artificial Intelligence, Ausgabe 307, 2022, ISSN 0004-3702
Herausgeber: Elsevier BV
DOI: 10.1016/j.artint.2022.103686

Futterernte - Entspanntes und präzises Ernten durch planbasierte Künstliche Intelligenz

Autoren: Jonathan Schulze Buschhoff
Veröffentlicht in: Eilbote, 2024
Herausgeber: Eilbote

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