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SCIENTIFIC PAPERS
SCIENTIFIC PAPERS
Yalçinkaya B, Couceiro MS, Soares SP, Valente A., 2023: Human-Aware Collaborative Robots in the Wild: Coping with Uncertainty in Activity Recognition. Sensors, 23(7):3388, https://doi.org/10.3390/s23073388
Fletcher, S., Oostveen, A.M., Chippendale, P., Couceiro, M., Turtiainen, M., Ballester, L.S., 2023: Developing Unmanned Aerial Robotics To Support Wild Berry Harvesting In Finland: Human Factors, Standards And Ethics. Proc. ICRES, pp. 109-122
Yalcinkaya, B., Couceiro, M., Pina, L., Soares, S., Valente, A., and Remondino, F., 2024: Towards Enhanced Human Activity Recognition for Real-World Human-Robot Collaboration. IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, pp. 7909-7915, https://doi.org/10.1109/ICRA57147.2024.10610664
Yalcinkaya, B., Araújo, A., Couceiro, M., Soares, S., and Valente, A., 2024: Unlocking the Potential of Human-Robot Synergy Under Advanced Industrial Applications: The FEROX Simulator. ERF 2024, Springer Proceedings in Advanced Robotics, vol 33. https://doi.org/10.1007/978-3-031-76428-8_9
Trybala, P., Remondino, F., Couciero, M., 2024: Towards robotization of foraging wild fruits: a multi-camera drone for mapping berries under canopy. ERF 2024, Springer Proceedings in Advanced Robotics, vol 33. https://doi.org/10.1007/978-3-031-76428-8_7
Terol, M., Fraile, F., Boza, A., and Gomez-Gasquet, P., 2024: Optimizing Mapping Operations in Forest Environments: Technical and Usage Perspective. The International Conference on Industrial Engineering and Industrial Management, Nice, France, pp. 484-488. https://doi.org/10.1007/978-3-031-82334-3_85
Riz, L., Povoli, S., Caraffa, A., Boscaini, D., Mekhalfi, M. L. et al. 2024: Wild Berry image dataset collected in Finnish forests and peatlands using drones. European Conference on Computer Vision (ECCV 2024), Milan, Italy, pp. 1-16. https://doi.org/10.1007/978-3-031-91835-3_1
Trybała, P., Morelli, L., Remondino, F., Farrand, L., Couceiro, M.S., 2024: Under-Canopy Drone 3D Surveys for Wild Fruit Hotspot Mapping. Drones, 8(10):577. https://doi.org/10.3390/drones8100577
Liu, Z., Kaartinen, H., Hakala, T., Hyyti, H., Kukko, A., Hyyppa, J., and Chen, R., 2025: Comparative Analysis of Ultra-Wideband and Mobile Laser Scanning Systems for Mapping Forest Trees under A Forest Canopy. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Dubai, UAE, pp. 551-557. https://doi.org/10.5194/isprs-annals-X-G-2025-551-2025
Terol, M., Gil, F. F., Boza, A., Gomez-Gasquet, P., & Couceiro, M. S., 2025: Management of Unmanned Aerial Vehicles Operations in Forest Environments. IEEE ICE/ITMC 2025, Valencia, Spain, pp. 1-8. https://www.doi.org/10.1109/ICE/ITMC65658.2025.11106580
Ballester, L. C. S., Gil, F. F., Chippendale, P., Couceiro, M. S., and Piccinini, G., 2025: Use of Drones and AI for Wild Product Harvesting Optimization in the FEROX Project. IEEE ICE/ITMC 2025, Valencia, Spain, pp. 1-9. https://www.doi.org/10.1109/ICE/ITMC65658.2025.11106650
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