
Filipe Neves Santos
TEC4 Coordinator
Filipe Neves dos Santos was born in São Paio de Oleiros, Portugal, in 1979. He olds a Licenciatura (5-year degree) in Electrical and Computer Engineering in 2003 from Instituto Superior de Engenharia do Porto (ISEP), a M.Sc. in Electrical and Computer Engineering from the Instituto Superior Técnico (IST) da Universidade Técnica de Lisboa, in 2007, and received the PhD degree in Electrical and Computer Engineering at the Faculdade de Engenharia (FEUP), Universidade do Porto, Portugal, in 2014. His professional passion is to develop autonomous robots and machinery to solve real problems, desires and needs of our society and to contribute for self-sustainability and fairness of the global economy. Actually, He is focused in developing and researching robotic solutions for agriculture and forestry sector, where is required a higher efficiency for our world self-sustainability. Considering his closer regional reality, he have setup the goal to promote agricultural robotic based projects and develop robots that can operate fully autonomously and safely in steep-slope scenarios, which is a common reality of North of Portugal and in other large number of world regions. As so, he is interested in explore and develop robots for specific agricultural and forestall tasks such as: monitoring (by ground), spraying, logistics, pruning, and selective harvesting. The successfully execution of these task is largely dependent on the robustness of specific robotic systems, such as: - Visual Perception; - Navigation (localization, mapping and path planning); and - Manipulation and end tools. For that reason Visual Perception and Navigation are his main research fields inside of robotics research. His formation in Electronics and Computer Engineer (Bachelor (old-one of 5 years) MSc (sensor fusion), PhD (semantic mapping) ), experience of 4 years as entrepreneur (technological startup), 8 year as robotics researcher, 5 years as manager (in supporting tasks in a family enterprise), and 6 year as electronics technician will help him to successfully contribute for the agricultural and forestall robotics future.
Projects
Publications
Plant Leaf Disease Detection Using Deep Learning: A Multi-Dataset Approach
Krishna, MS;Machado, P;Otuka, RI;Yahaya, SW;Neves dos Santos, F;Ihianle, IK;
2024
Early plant disease diagnosis through handheld UV-Vis transmittance spectrometer with DD-SIMCA one-class classification and MCR-ALS bilinear decomposition
Reis-Pereira, M;Mazivila, SJ;Tavares, F;dos Santos, FN;Cunha, M;
2024
SMART AGRICULTURAL TECHNOLOGY
Pruning End-Effectors State of the Art Review
Oliveira, F;Tinoco, V;Valente, A;Pinho, TM;Cunha, JB;Santos, F;
2024
Progress in Artificial Intelligence - 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3-6, 2024, Proceedings, Part I
Deep learning based approach for actinidia flower detection and gender assessment
Pinheiro, I;Moreira, G;Magalhaes, S;Valente, A;Cunha, M;dos Santos, FN;
2024
SCIENTIFIC REPORTS
Supervised Theses
Grasping and manipulation with active perception for open-field agricultural robotics
Sandro Augusto Costa Magalhães
D - 2020
UP-FEUP
Advanced 2.5D Path Planning for agricultural robots
Luís Carlos Feliz Santos
D - 2020
UTAD-ECT
Localization and Mapping based on Semantic and Multi-Layer Maps Concepts
André Silva Pinto de Aguiar
D - 2020
UTAD-ECT
ForestMP: Multimodal perception system for robotics in forestry applications
Daniel Queirós da Silva
D - 2022
UTAD-ECT

