INESC TEC
INESC TEC
INESC TEC
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José Boaventura

José Boaventura

José Boaventura-Cunha is an Engineer in Electronics and Telecommunications from the University of Aveiro (1985) and has a PhD in Electrotechnical and Computer Engineering from UTAD-University of Trás-os-Montes and Alto Douro, Portugal (2002). Currently holds the position of Full Professor at the the School of Sciences and Technology of UTAD.

Since 2012 he is a member of the CRIIS-Center for Robotics in Industry and Intelligent Systems at INESC TEC - Institute of Systems and Computer Engineering, Technology and Science and is Coordinator of the pole of INESC TEC at UTAD.

His research interests are related to the areas of Instrumentation, modeling and control applied to industrial and agro-forestry processes.

Publications

Precision Fertilization: A critical review analysis on sensing technologies for nitrogen, phosphorous and potassium quantification

Silva, F;Queirós, C;Pereira, M;Pinho, T;Barroso, T;Magalhães, S;Boaventura, J;Santos, F;Cunha, M;Martins, R;

2024

Computers and Electronics in Agriculture

Sound-Based Anomalies Detection in Agricultural Robotics Application

Baltazar, AR;dos Santos, FN;Soares, SP;Moreira, AP;Cunha, JB;

2023

PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT II

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

Application of Bio-Inspired Optimization Techniques for Wind Power Forecasting

Ferreira, J;Puga, R;Boaventura, J;Abtahi, A;Santos, S;

2023

International Journal of Computer Information Systems and Industrial Management Applications

View all publications

Supervised theses

Extracting NLG Templates to Improve Automatically Generated Sports Match Summaries

João Diogo Vila Franca Gonçalves

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