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

Información del proyecto

FEROX

Identificador del acuerdo de subvención: 101070440

DOI

10.3030/101070440

Proyecto cerrado

Fecha de la firma de la CE 20 Junio 2022

Fecha de inicio 1 Septiembre 2022

Fecha de finalización 31 Diciembre 2025

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 3 162 368,43

Aportación de la UE

€ 2 746 950,25

Coordinado por

FONDAZIONE BRUNO KESSLER
Italy

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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.

Publicaciones

Book chapters (2)

Optimizing Mapping Operations in Forest Environments: Technical and Usage Perspective

Autores: Marcos Terol, Francisco Fraile, Andrés Boza, Pedro Gomez-Gasquet
Publicado en: Lecture Notes on Data Engineering and Communications Technologies, Organizational Engineering, Coping with Complexity, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-82334-3_85

Towards Robotization of Foraging Wild Fruits Under Canopy - A Multi-camera Drone-Borne Berry Mapping

Autores: Paweł Trybała, Luca Morelli, Fabio Remondino, Micael S. Couceiro
Publicado en: Springer Proceedings in Advanced Robotics, European Robotics Forum 2024, 2024
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-76428-8_7

Conference proceedings (7)

Developing unmanned aerial robotics to support wild berry harvesting in Finland: Human factors, standards and ethics.

Autores: Fletcher, S., Oostveen, A.M., Chippendale, P., Couceiro, M., Turtiainen, M., Ballester, L.S.
Publicado en: ICRES 2023 Proceedings, 2023
Editor: CLAWAR Association
DOI: 10.13180/ICRES.2023.17-18.07.020

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

Autores: 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.
Publicado en: European Conference on Computer Vision - ECCV Workshops, 2024
Editor: ECCV
DOI: 10.48550/arXiv.2405.07550

Use of Drones and AI for Wild Product Harvesting Optimization in the FEROX Project

Autores: Laura Cristina Smith Ballester, Francisco Fraile Gil, Paul Chippendale, Micael Couceiro, Giacomo Piccinini
Publicado en: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2025
Editor: IEEE
DOI: 10.1109/ICE/ITMC65658.2025.11106650

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

Autores: Beril Yalcinkaya; André Araújo; Micael Couceiro; Salviano Soares; António Valente
Publicado en: European Robotics Forum 2024 (ERF 2024), 2024
Editor: ERF
DOI: 10.5281/zenodo.14236737

Comparative Analysis of Ultra-Wideband and Mobile Laser Scanning Systems for Mapping Forest Trees under A Forest Canopy

Autores: Zuoya Liu, Harri Kaartinen, Teemu Hakala, Heikki Hyyti, Antero Kukko, Juha Hyyppa, Ruizhi Chen
Publicado en: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Edición X-G-2025, 2025, ISSN 2194-9050
Editor: Copernicus GmbH
DOI: 10.5194/ISPRS-ANNALS-X-G-2025-551-2025

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

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

Management of Unmanned Aerial Vehicles Operations in Forest Environments

Autores: Marcos Terol, Francisco Fraile Gil, Andrés Boza, Pedro Gomez-Gasquet, Micael S. Couceiro
Publicado en: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2025
Editor: IEEE
DOI: 10.1109/ICE/ITMC65658.2025.11106580

Peer reviewed articles (5)

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

Autores: Beril Yalçinkaya, Micael Santos Couceiro, Salviano Pinto Soares, Antonio Valente
Publicado en: Sensors, Edición 23(7), 3388, 2023, ISSN 1424-8220
Editor: MDPI
DOI: 10.3390/s23073388

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

Autores: Paweł Trybała, Luca Morelli, Fabio Remondino, Levi Farrand, Micael S. Couceiro
Publicado en: Drones, Edición 8, 2024, ISSN 2504-446X
Editor: MDPI AG
DOI: 10.3390/drones8100577

FORMIGA: A Fleet Management Framework for Sustainable Human–Robot Collaboration in Field Robotics

Autores: Yalcinkaya, B., Couceiro, M., Soares, S., & Valente, A.
Publicado en: Frontiers in Robotics and AI, Edición 12, 1706910, 2025, ISSN 2296-9144
Editor: Frontiers Media
DOI: 10.3389/FROBT.2025.1706910

Benchmarking Under- and Above-Canopy Laser Scanning Solutions for Deriving Stem Curve and Volume in Easy and Difficult Boreal Forest Conditions

Autores: Jesse Muhojoki, Daniella Tavi, Eric Hyyppä, Matti Lehtomäki, Tamás Faitli, Harri Kaartinen, Antero Kukko, Teemu Hakala, Juha Hyyppä
Publicado en: Remote Sensing, Edición 16, 2025, ISSN 2072-4292
Editor: MDPI AG
DOI: 10.3390/RS16101721

Comparing positioning accuracy of mobile laser scanning systems under a forest canopy

Autores: Jesse Muhojoki, Teemu Hakala, Antero Kukko, Harri Kaartinen, Juha Hyyppä
Publicado en: Science of Remote Sensing, Edición 9, 2024, ISSN 2666-0172
Editor: Elsevier BV
DOI: 10.1016/J.SRS.2024.100121