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

Progetto chiuso

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

Book chapters (2)

Optimizing Mapping Operations in Forest Environments: Technical and Usage Perspective

Autori: Marcos Terol, Francisco Fraile, Andrés Boza, Pedro Gomez-Gasquet
Pubblicato in: Lecture Notes on Data Engineering and Communications Technologies, Organizational Engineering, Coping with Complexity, 2025
Editore: 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

Autori: Paweł Trybała, Luca Morelli, Fabio Remondino, Micael S. Couceiro
Pubblicato in: Springer Proceedings in Advanced Robotics, European Robotics Forum 2024, 2024
Editore: 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.

Autori: Fletcher, S., Oostveen, A.M., Chippendale, P., Couceiro, M., Turtiainen, M., Ballester, L.S.
Pubblicato in: ICRES 2023 Proceedings, 2023
Editore: CLAWAR Association
DOI: 10.13180/ICRES.2023.17-18.07.020

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

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

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

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

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

Autori: Zuoya Liu, Harri Kaartinen, Teemu Hakala, Heikki Hyyti, Antero Kukko, Juha Hyyppa, Ruizhi Chen
Pubblicato in: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numero X-G-2025, 2025, ISSN 2194-9050
Editore: 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

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

Management of Unmanned Aerial Vehicles Operations in Forest Environments

Autori: Marcos Terol, Francisco Fraile Gil, Andrés Boza, Pedro Gomez-Gasquet, Micael S. Couceiro
Pubblicato in: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2025
Editore: 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

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

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

Autori: Yalcinkaya, B., Couceiro, M., Soares, S., & Valente, A.
Pubblicato in: Frontiers in Robotics and AI, Numero 12, 1706910, 2025, ISSN 2296-9144
Editore: 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

Autori: Jesse Muhojoki, Daniella Tavi, Eric Hyyppä, Matti Lehtomäki, Tamás Faitli, Harri Kaartinen, Antero Kukko, Teemu Hakala, Juha Hyyppä
Pubblicato in: Remote Sensing, Numero 16, 2025, ISSN 2072-4292
Editore: MDPI AG
DOI: 10.3390/RS16101721

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

Autori: Jesse Muhojoki, Teemu Hakala, Antero Kukko, Harri Kaartinen, Juha Hyyppä
Pubblicato in: Science of Remote Sensing, Numero 9, 2024, ISSN 2666-0172
Editore: Elsevier BV
DOI: 10.1016/J.SRS.2024.100121