CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
To estimate trust development in human workers that goes beyond task success and takes observable interaction behavior into account an operational model is developed that focuses on constituents of trust in the concrete application context The model will then be used to categorize and classify levels of trust in ongoing human robot collaborations
"Initial report on the integration of the ""DrapeCell"" demonstrator" (s’ouvre dans une nouvelle fenêtre)This report will describe the robotic set up (incl. the gripper) used in Profactor’s DrapeCell, the integration activities that have taken place and initial test results that have been obtained. It will provide an outlook which development steps or improvements are still needed.
Report on final integration of demonstrator cells (s’ouvre dans une nouvelle fenêtre)This report will build upon deliverables D6.1 and D6.2 and describe all further integration activities and tests that have been completed on Profactors DrapeCell and DLRs TEZ.
"Initial report on the integration of the ""TEZ"" demonstrator" (s’ouvre dans une nouvelle fenêtre)This report will describe the robotic set up (incl. the grippers) used in DLR’s TEZ, the integration activities that have taken place and initial test results that have been obtained. It will provide an outlook which development steps or improvements are still needed.
Report on results of user evaluations (s’ouvre dans une nouvelle fenêtre)This report deliverable will present the results of the user evaluation done in both workcells and in the different use cases. It will also describe the conclusion, their impact on setting up human robot collaborative draping systems and best practice process specifications for collaborative draping.
The deliverable will consist of a demonstration of the integrated workcells in a laboratory environment (DLR) and at an end user (Baltico) and an evaluation report. The report will compare the results to the KPIs defined for this demonstration.
M36 Demonstration and evaluation report (s’ouvre dans une nouvelle fenêtre)The deliverable will consist of a demonstration of the integrated workcells in a laboratory environment (DLR) and at an end user (Dallara) and an evaluation report. The report will compare the results to the KPIs defined for this demonstration.
M28 Demonstration and evaluation report (s’ouvre dans une nouvelle fenêtre)The deliverable will consist of a demonstration of the integrated grippers in laboratory environments and an evaluation report. The report will compare the results to the KPIs defined for this demonstration.
This deliverable is the project web page The report will describe the structure the content and the intended use of the web page
This deliverable consists of non-confidential data sets that are made available in public repository for use by other researchers in accordance with the data management plan.
Perception model for human analysis in the workcell (s’ouvre dans une nouvelle fenêtre)This deliverable is a software module that provides a map populated by human detections and actions based both on visual and inertial data. The module will provide input to the behaviour analysis module and to the robotic system, to enhance robot motion planning and enable security features. Results of initial test of the perception module will be reported in the deliverable.
Multi modal analysis tool for non-verbal trust estimation (s’ouvre dans une nouvelle fenêtre)The operational model will be integrated into a multi-modal analysis tool that will dynamically assess the works trust level towards the robot based on available sensor data and suggests behavior adaptation to control the workers trust level.
Human-robot real-time interaction (s’ouvre dans une nouvelle fenêtre)The deliverable is a software implementation of a low-level control algorithm that makes local corrections to the robot’s motion in response to the interaction with the human worker in the Profactor workcell. Test results will also be reported in the deliverable.
The deliverable will include a plan describing the data collected throughout the project their status and how nonconfidential research data will be made available to other researchers in a repository
Updated Data Management Plan (s’ouvre dans une nouvelle fenêtre)This deliverable will describe the publishable data sets that have been acquired during the project and briefly explain their structure.
Publications
Auteurs:
Paolo Franceschi, Davide Cassinelli, Nicola Pedrocchi, Manuel Beschi, Paolo Rocco
Publié dans:
IEEE Transactions on Automation Science and Engineering, 2024, Page(s) 1-16, ISSN 1545-5955
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tase.2024.3429643
Auteurs:
Davide Allegro; Matteo Terreran; Stefano Ghidoni
Publié dans:
Information, 2023, ISSN 2078-2489
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/info14060314
Auteurs:
Franceschi, Paolo; Pedrocchi, Nicola; Beschi, Manuel;
Publié dans:
IEEE Transactions on Automation Science and Engineering, 2023, ISSN 1545-5955
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tase.2023.3320708
Auteurs:
Nicola, Giorgio; Villagrossi, Enrico; Pedrocchi, Nicola;
Publié dans:
Robotics and Computer-Integrated Manufacturing, 2024, ISSN 0736-5845
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.rcim.2023.102630
Auteurs:
Franceschi, Paolo; Pedrocchi, Nicola; Beschi, Manuel;
Publié dans:
Mechatronics, 2023, ISSN 0957-4158
Éditeur:
Pergamon Press Ltd.
DOI:
10.1016/j.mechatronics.2023.102986
Auteurs:
Matteo Terreran, Leonardo Barcellona, Stefano Ghidoni
Publié dans:
Robotics and Autonomous Systems, 2023, ISSN 0921-8890
Éditeur:
Elsevier BV
DOI:
10.1016/j.robot.2023.104523
Auteurs:
Davide Allegro, Matteo Terreran, Stefano Ghidoni
Publié dans:
IEEE Robotics and Automation Letters, Numéro 9, 2024, Page(s) 9852-9859, ISSN 2377-3766
Éditeur:
IEEE
DOI:
10.1109/lra.2024.3468089
Auteurs:
Barcellona, Leonardo; Terreran, Matteo; Evangelista, Daniele; Ghidoni, Stefano
Publié dans:
Proceedings of the 17th International Conference on Intelligent Autonomous Systems, 2022
Éditeur:
IAS Society
DOI:
10.5281/zenodo.6706376
Auteurs:
Bragagnolo, Laura; Terreran, Matteo; Allegro, Davide; Ghidoni, Stefano
Publié dans:
Proceedings of the 18th European Conference on Computer Vision, 2024
Éditeur:
Springer
DOI:
10.5281/zenodo.13384834
Auteurs:
Miotto, Nicola; Gottardi, Alberto; Castaman, Nicola; Menegatti, Emanuele
Publié dans:
IEEE 21st International Conference on Advanced Robotics (ICAR), 2023
Éditeur:
IEEE
DOI:
10.5281/zenodo.10404965
Auteurs:
Stefano Ghidoni, Matteo Terreran, Daniele Evangelista, Emanuele Menegatti,
Christian Eitzinger, Enrico Villagrossi, Nicola Pedrocchi, Nicola Castaman, Marcin Malecha,
Sariah Mghames, Luca Castri, Marc Hanheide, Nicola Bellotto
Publié dans:
Proceedings of the Ital-IA workshops, 2021
Éditeur:
CINI national labs
Auteurs:
Alberto Gottardi; Matteo Terreran; Christoph Frommel; Manfred Schoenheits; Nicola Castaman; Stefano Ghidoni; Emanuele Menegatti
Publié dans:
Proceeding of the 11th European Conference on Mobile Robots (ECMR), 2023, Page(s) 8
Éditeur:
IEEE
DOI:
10.1109/ecmr59166.2023.10256268
Auteurs:
Franceschi, Paolo; Pedrocchi, Nicola; Beschi, Manuel;
Publié dans:
27th International Conference on Emerging Technologies and Factory Automation (ETFA), 2022, ISBN 978-1-6654-9996-5
Éditeur:
IEEE
DOI:
10.1109/etfa52439.2022.9921553
Auteurs:
Nicola Miotto, Alberto Gottardi, Nicola Castaman, Emanuele Menegatti
Publié dans:
2023 21st International Conference on Advanced Robotics (ICAR), 2024, Page(s) 348-354
Éditeur:
IEEE
DOI:
10.1109/icar58858.2023.10406816
Auteurs:
Gottardi, Alberto; Pagello, Enrico; Castaman, Nicola; Menegatti, Emanuele
Publié dans:
IEEE/RSJ IROS Workshop on Task and Motion Planning: from Theory to Practice, 2023
Éditeur:
IEEE/RSJ IROS Workshop
DOI:
10.5281/zenodo.10405045
Auteurs:
Franceschi, Paolo; Pedrocchi, Nicola; Beschi, Manuel;
Publié dans:
Proceedings of 2022 International Conference on Robotics and Automation (ICRA), 2022, ISBN 978-1-7281-9681-7
Éditeur:
IEEE-RAS
DOI:
10.1109/icra46639.2022.9811853
Auteurs:
Gottardi Alberto, Pagello Enrico, Menegatti Emanuele, Tonello Stefano
Publié dans:
European Robotics Forum 2024, 2024
Éditeur:
ERF24
DOI:
10.5281/zenodo.13950896
Auteurs:
Gottardi, Alberto; Castaman, Nicola; Pagello, Enrico; Menegatti, Emanuele
Publié dans:
Italian Workshop on Artificial Intelligence and Robotics (AIRO) at AIxIA, 2023
Éditeur:
AIxIA
DOI:
10.5281/zenodo.10405873
Auteurs:
Giorgio Nicola; Enrico Villagrossi; Nicola Pedrocchi
Publié dans:
Proceedings of the I-RIM 3D conference, Numéro 4, 2022, ISBN 978-88-945805-3-2
Éditeur:
I-RIM
DOI:
10.5281/zenodo.7531378
Auteurs:
Terreran, Matteo; Lazzaretto, Margherita; Ghidoni, Stefano
Publié dans:
Proceedings of the 17th International Conference on Intelligent Autonomous Systems, 2022
Éditeur:
IAS society
DOI:
10.5281/zenodo.6706704
Auteurs:
MATTEO TERRERAN; Barcellona, Leonardo; Daniele Evangelista; Emanuele Menegatti; Stefano Ghidoni
Publié dans:
Proceedings of the I-RIM 3D conference, 2021
Éditeur:
I-RIM
DOI:
10.5281/zenodo.5900497
Auteurs:
Stefano Ghidoni, Matteo Terreran, Daniele Evangelista,Christian Eitzinger, Sebastian Zambal,Enrico Villagrossi, Nicola Pedrocchi,Nicola Castaman,Marcin Malecha
Publié dans:
Proceedings of the I-RIM 3D conference, 2021
Éditeur:
Third Italian Conference on Robotics and Intelligent Machines
DOI:
10.5281/zenodo.6367920
Auteurs:
Christian Eitzinger, Christoph Frommel, Stefano Ghidoni, Enrico Villagrossi
Publié dans:
SAMPE Europe Conference and Exhibition 2021, 2021, ISBN 978-90-829101-3-1
Éditeur:
SAMPE
Auteurs:
Christoph Frommel, Alfons Schuster, Marcin Malecha
Publié dans:
15th International Conference on Mechanical and Aerospace Engineering (ICMAE), 2024
Éditeur:
IEEE conference proceedings
Auteurs:
Nicola, Giorgio; Mutti, Stefano; Villagrossi, Enrico; Pedrocchi, Nicola;
Publié dans:
32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023, ISBN 979-8-3503-3670-2
Éditeur:
IEEE
DOI:
10.1109/ro-man57019.2023.10309337
Auteurs:
Davide Allegro, Matteo Terreran, Stefano Ghidoni
Publié dans:
Proceedings of IROS 2024, 2024
Éditeur:
IEEE
DOI:
10.48550/arxiv.2410.08805
Auteurs:
Marcin Malecha, Alberto Gottardi, Matteo Terreran, Kasper Hald, Enrico Villagrossi
Publié dans:
15th International Conference on Mechanical and Aerospace Engineering (ICMAE), 2024
Éditeur:
IEEE conference proceedings
Auteurs:
Matteo Terreran, Alberto Gottardi, Emanuele Menegatti, Stefano Ghidoni
Publié dans:
2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), 2024, Page(s) 1-8
Éditeur:
IEEE
DOI:
10.1109/etfa61755.2024.10711079
Auteurs:
Nicola, Giorgio; Villagrossi, Enrico; Pedrocchi, Nicola;
Publié dans:
31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2022, ISBN 978-1-7281-8859-1
Éditeur:
IEEE
DOI:
10.1109/ro-man53752.2022.9900710
Auteurs:
Terreran, Matteo; Barcellona, Leonardo; Evangelista, Daniele; Ghidoni, Stefano
Publié dans:
Proceedings of the 20th International Conference on Advanced Robotics (ICAR), 2021
Éditeur:
IEEE
DOI:
10.5281/zenodo.6706945
Auteurs:
Franceschi, Paolo; Beschi, Manuel; Pedrocchi, Nicola; Valente, Anna
Publié dans:
21st International Conference on Advanced Robotics (ICAR), 2023, ISBN 978-1-6654-3684-7
Éditeur:
IEEE
DOI:
10.48550/arxiv.2307.10739
Auteurs:
Alberto Bacchin, Davide Allegro, Stefano Ghidoni, Emanuele Menegatti
Publié dans:
Proceedings of the 18th European Conference on Computer Vision, 2024
Éditeur:
Springer
DOI:
10.48550/arxiv.2409.01109
Auteurs:
Franceschi, Paolo; Bertini, Fabio; Braghin, Francesco; Roveda, Loris; Pedrocchi, Nicola; Beschi, Manuel;
Publié dans:
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, ISBN 978-1-6654-9190-7
Éditeur:
IEEE
DOI:
10.1109/iros55552.2023.10342014
Auteurs:
Terreran, Matteo; Ghidoni, Stefano; Menegatti, Emanuele; Villagrossi, Enrico; Pedrocchi, Nicola; Castaman, Nicola; Gottardi, Alberto; Eitzinger, Christian; Vescovi, Luca; Salemi, Giuseppe; Casubolo, Matteo; Malecha, Marcin
Publié dans:
Proceedings of the I-RIM 3D conference, 2022
Éditeur:
Fourth Italian Conference on Robotics and Intelligent Machines
DOI:
10.5281/zenodo.7531293
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