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CORDIS - EU research results
CORDIS

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

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

Impact, Exploitation and Dissemination Planning Report (Mid term) (opens in new window)

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

Business Models, Case Development and Competition Analysis (Planning) (opens in new window)

Table of potential business models and their associated advantages and disadvantages

Project Management Handbook (opens in new window)

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

Exploitation Regulation, Strategy, Planning and Execution (opens in new window)

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

IoT, AI, Security and Privacy (opens in new window)

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

Communication and information management (Initial progress) (opens in new window)

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

Impact, Exploitation and Dissemination Planning Report (Initial Plan) (opens in new window)

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

Publications

Optimizing Mapping Operations in Forest Environments: Technical and Usage Perspective (opens in new window)

Author(s): Marcos Terol, Francisco Fraile, Andrés Boza, Pedro Gomez-Gasquet
Published in: Lecture Notes on Data Engineering and Communications Technologies, Organizational Engineering, Coping with Complexity, 2025
Publisher: 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 (opens in new window)

Author(s): Paweł Trybała, Luca Morelli, Fabio Remondino, Micael S. Couceiro
Published in: Springer Proceedings in Advanced Robotics, European Robotics Forum 2024, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-76428-8_7

Developing unmanned aerial robotics to support wild berry harvesting in Finland: Human factors, standards and ethics. (opens in new window)

Author(s): Fletcher, S., Oostveen, A.M., Chippendale, P., Couceiro, M., Turtiainen, M., Ballester, L.S.
Published in: ICRES 2023 Proceedings, 2023
Publisher: CLAWAR Association
DOI: 10.13180/ICRES.2023.17-18.07.020

Wild Berry image dataset collected in Finnish forests and peatlands using drones (opens in new window)

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

Use of Drones and AI for Wild Product Harvesting Optimization in the FEROX Project (opens in new window)

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

Unlocking the Potential of Human-Robot Synergy under Advanced Industrial Applications: The FEROX Simulator (opens in new window)

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

Comparative Analysis of Ultra-Wideband and Mobile Laser Scanning Systems for Mapping Forest Trees under A Forest Canopy (opens in new window)

Author(s): Zuoya Liu, Harri Kaartinen, Teemu Hakala, Heikki Hyyti, Antero Kukko, Juha Hyyppa, Ruizhi Chen
Published in: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue X-G-2025, 2025, ISSN 2194-9050
Publisher: 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 (opens in new window)

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

Management of Unmanned Aerial Vehicles Operations in Forest Environments (opens in new window)

Author(s): Marcos Terol, Francisco Fraile Gil, Andrés Boza, Pedro Gomez-Gasquet, Micael S. Couceiro
Published in: 2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC), 2025
Publisher: IEEE
DOI: 10.1109/ICE/ITMC65658.2025.11106580

Human-Aware Collaborative Robots in the Wild: Coping with Uncertainty in Activity Recognition (opens in new window)

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 (opens in new window)

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

FORMIGA: A Fleet Management Framework for Sustainable Human–Robot Collaboration in Field Robotics (opens in new window)

Author(s): Yalcinkaya, B., Couceiro, M., Soares, S., & Valente, A.
Published in: Frontiers in Robotics and AI, Issue 12, 1706910, 2025, ISSN 2296-9144
Publisher: 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 (opens in new window)

Author(s): Jesse Muhojoki, Daniella Tavi, Eric Hyyppä, Matti Lehtomäki, Tamás Faitli, Harri Kaartinen, Antero Kukko, Teemu Hakala, Juha Hyyppä
Published in: Remote Sensing, Issue 16, 2025, ISSN 2072-4292
Publisher: MDPI AG
DOI: 10.3390/RS16101721

Comparing positioning accuracy of mobile laser scanning systems under a forest canopy (opens in new window)

Author(s): Jesse Muhojoki, Teemu Hakala, Antero Kukko, Harri Kaartinen, Juha Hyyppä
Published in: Science of Remote Sensing, Issue 9, 2024, ISSN 2666-0172
Publisher: Elsevier BV
DOI: 10.1016/J.SRS.2024.100121

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