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

Project Information

FEROX

Grant agreement ID: 101070440

DOI

10.3030/101070440

EC signature date 20 June 2022

Start date 1 September 2022

End date 31 December 2025

Funded under

• Digital, Industry and Space

Total cost

€ 3 162 368,43

EU contribution

€ 2 746 950,25

Coordinated by

FONDAZIONE BRUNO KESSLER
Italy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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.

Publications

Peer reviewed articles (2)

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

Author(s): Beril Yalçinkaya, Micael Santos Couceiro, Salviano Pinto Soares, Antonio Valente
Published in: Sensors, Issue 23(7), 3388, 2023, ISSN 1424-8220
Publisher: MDPI
DOI: 10.3390/s23073388

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

Author(s): Paweł Trybała, Luca Morelli, Fabio Remondino, Levi Farrand, Micael S. Couceiro
Published in: Drones, Issue 8, 2024, ISSN 2504-446X
Publisher: MDPI AG
DOI: 10.3390/drones8100577

Conference proceedings (3)

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

Author(s): 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.
Published in: European Conference on Computer Vision - ECCV Workshops, 2024
Publisher: ECCV
DOI: 10.48550/arXiv.2405.07550

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

Author(s): Beril Yalcinkaya; André Araújo; Micael Couceiro; Salviano Soares; António Valente
Published in: European Robotics Forum 2024 (ERF 2024), 2024
Publisher: ERF
DOI: 10.5281/zenodo.14236737

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

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