Fostering and Enabling AI, Data and Robotics Technologies for Supporting Human Workers in Harvesting Wild Food

Informazioni relative al progetto

FEROX

ID dell’accordo di sovvenzione: 101070440

DOI

10.3030/101070440

Data della firma CE 20 Giugno 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Dicembre 2025

Finanziato da

• Digital, Industry and Space

Costo totale

€ 3 162 368,43

Contributo UE

€ 2 746 950,25

Coordinato da

FONDAZIONE BRUNO KESSLER
Italy

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

Documents, reports (7)

Impact, Exploitation and Dissemination Planning Report (Mid term)

Periodic Reports on Exploitation Plan, Market activities and Business Plan.

Business Models, Case Development and Competition Analysis (Planning)

Table of potential business models and their associated advantages and disadvantages

Project Management Handbook

This report will provide guidelines to be followed by all partners indifferent managerial aspects.

Exploitation Regulation, Strategy, Planning and Execution

Summary of regulatory framework and IPR plus a flowchart of commercialization pathways

IoT, AI, Security and Privacy

Plan, Design and Developing AI Algorithms alongside with the security and privacy considerations.

Communication and information management (Initial progress)

Report on system information (hardware, software, and protocols).

Impact, Exploitation and Dissemination Planning Report (Initial Plan)

Periodic Reports on Exploitation Plan, Market activities and Business Plan.

Pubblicazioni

Peer reviewed articles (2)

Human-Aware Collaborative Robots in the Wild: Coping with Uncertainty in Activity Recognition

Autori: Beril Yalçinkaya, Micael Santos Couceiro, Salviano Pinto Soares, Antonio Valente
Pubblicato in: Sensors, Numero 23(7), 3388, 2023, ISSN 1424-8220
Editore: MDPI
DOI: 10.3390/s23073388

Under-Canopy Drone 3D Surveys for Wild Fruit Hotspot Mapping

Autori: Paweł Trybała, Luca Morelli, Fabio Remondino, Levi Farrand, Micael S. Couceiro
Pubblicato in: Drones, Numero 8, 2024, ISSN 2504-446X
Editore: MDPI AG
DOI: 10.3390/drones8100577

Conference proceedings (3)

Wild Berry image dataset collected in Finnish forests and peatlands using drones

Autori: Riz, L., Povoli, S., Caraffa, A., Boscaini, D., Mekhalfi, M. L., Chippendale, P., Turtiainen, M., Partanen, B., Smith Ballester, L., Noguera, F. B., Franchi, A., Castelli, E., Piccinini, G., Marchesotti, L., Santos Couceiro, M., Poiesi, F.
Pubblicato in: European Conference on Computer Vision - ECCV Workshops, 2024
Editore: ECCV
DOI: 10.48550/arXiv.2405.07550

Unlocking the Potential of Human-Robot Synergy under Advanced Industrial Applications: The FEROX Simulator

Autori: Beril Yalcinkaya; André Araújo; Micael Couceiro; Salviano Soares; António Valente
Pubblicato in: European Robotics Forum 2024 (ERF 2024), 2024
Editore: ERF
DOI: 10.5281/zenodo.14236737

Human-Aware Collaborative Robots in the Wild: Coping with Uncertainty in Activity Recognition

Autori: Beril Yalcinkaya; Micael S. Couceiro; Lucas Pina; Salviano Soares; António Valente; Fabio Remondino
Pubblicato in: 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), 2024
Editore: IEEE
DOI: 10.1109/ICRA57147.2024.10610664