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INESC TEC
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Tatiana Martins Pinho

Tatiana Martins Pinho

Tatiana M. Pinho received, in 2018, the Ph.D. degree in Electrical and Computer Engineering by the University of Trás-os-Montes e Alto Douro (UTAD), Portugal, and INESC TEC Technology and Science, supported by the FCT. She graduated in Energy Engineering from UTAD in 2011 and received the MSc degree in Energy Engineering by the same University, in 2013. Presently she is a researcher at the INESC TEC, in particular, in the TRIBE Laboratory of Robotics and IoT for Smart Precision Agriculture and Forestry.

Publications

Reagent-less spectroscopy towards NPK sensing for hydroponics nutrient solutions

Silva, FM;Queirós, C;Pinho, T;Boaventura, J;Santos, F;Barroso, TG;Pereira, MR;Cunha, M;Martins, RC;

2023

SENSORS AND ACTUATORS B-CHEMICAL

Workload control and optimised order release: an assessment by simulation

Fernandes, NO;Thurer, M;Pinho, TM;Torres, P;Carmo Silva, S;

2020

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Reduction of Drying Process Time of Natural Cork Stoppers Process in Lean Improvement Efforts

Pinho, TM;Campos, D;Boaventura-Cunha, J;Azevedo, A;Paulo Moreira, A;

2016

Lecture Notes in Management and Industrial Engineering - Engineering Systems and Networks

Cyberphysical Network for Crop Monitoring and Fertigation Control

Coelho, JP;Rosse, HV;Boaventura Cunha, J;Pinho, TM;

2019

PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2019, PT I

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Supervised Theses

Gestão da qualidade e informatização/automatização dos processos

Filipe Rodrigues Ferreira

M - 2024

UP-FEUP

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

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