INESC TEC
INESC TEC
INESC TEC
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MetBots

INESC TEC

About Project

Metabolomic robots with self-learning artificial intelligence for precision agriculture

Acronym

MetBots

Responsible

Rui Miguel da Costa Martins

Status

Concluded

Start

January 26, 2018

End

January 30, 2021

Effective End

January 30, 2021

Global Budget

€237,848.68

Financing

€220,174.33

Members

Team Leaders
Rui Miguel da Costa Martins
Rui Costa Martins
Filipe Neves Santos
Filipe Neves Santos

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.

Associated Centres

Robotics in Industry and Intelligent Systems

At the Centre for Robotics and Intelligent Systems, we develop innovative solutions to leverage robotics in the industrial, agricultural, and forestry contexts, driving the digital transformation of the industry. We take a practical approach - from design to deployment - to test the navigation and localisation of mobile robots, explore advances in 2D/3D industrial vision and advanced detection, while also focusing on industrial and collaborative robotics, as well as human-robot interfaces. Our TRIBE LAB is fertile ground for innovative ideas about the agriculture of the future; we develop prototypes and promote excellence in agricultural robotics and IoT technology: with prototypes, advanced sensors (LiDAR, AI cameras), and rapid prototyping tools, we accelerate the development of solutions for the agroforestry sector. We are also present at the iiLab, where we combine applied research, technological demonstration, and controlled environment testing, promoting the integration of emerging technologies into industry. From intelligent robotic cells and cyber-physical systems to data analysis and AI, it is an innovation space where companies can experiment with and validate solutions for the factory of the future. With a multidisciplinary team, and following European agendas, our research work combines fundamental science and application, impacting the design of solutions for Industry 4.0, fostering competitiveness and the digital transformation of the sector.

Robotics in Industry and Intelligent Systems

Applied Photonics

From fundamental science to real-world innovation: at our Centre for Applied Photonics (CAP), we explore optical phenomena as a unique toolbox for innovation in micro- and nanofabrication, optical, physical, and biochemical sensors, and platforms for analogue simulation and quantum computing. Our researchers focus on developing systems capable of operating in contexts where precise and reliable sensing is essential (industry, environment or biomedicine), as well as nonlinear optical devices for building quantum analogue simulations and computing platforms. Our advances in photonic sensing enable their use in extreme environments, e.g., outer space or deep sea. Based on a non-siloed organisation, the solutions we develop through the study of light and photons require multidisciplinarity and close, cooperative work across our various research domains. With our expertise in photonics and electronic systems integration, we explore the potential for technology transfer to the emerging national and international photonics industry.

Applied Photonics