INESC TEC
INESC TEC
INESC TEC
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Josenalde Barbosa Oliveira

Josenalde Barbosa Oliveira

Computer engineer with post-doctoral experience in Electrical Engineering at University of Trás-os-Montes and Alto Douro (UTAD, Portugal, 2013) and PhD degree in Automation and Systems from Federal University of Rio Grande do Norte (UFRN), Brazil, in 2007. Professor of Computing/Automation in Brazil (UFRN) since 2003, where has a 13-year experience coordinating academic courses and human resources. Besides, he leaders the electronics laboratory and the research group on Modelling, Instrumentation and Control of Agricultural Systems, where he coordinated/participated in several research projects on technologies of computing and automation applied to agricultural sciences (control systems, embedded systems, digital image processing). Presently, he is a senior researcher at INESC TEC, Portugal. Member of the Brazilian Society of Automation (SBA) and member of the technical commitee of International Federation of Automatic Control (IFAC) on Modelling and Control of Environmental Systems, and Control in Agriculture. Currently is the scientific leader of the ERANET Water JPI project AgriSensus.

Projects

Publications

Variable Structure Adaptive Backstepping Controller for plants with arbitrary relative degree based on modular design

Queiroz, K;Araujo, A;Fernandes, M;Dias, S;Oliveira, J;

2010

Proceedings of the 2010 American Control Conference

A Modified Design for the VS-MRAC Based on the Indirect Approach: Stability Analysis

Oliveira, JB;Araujo, AD;

2008

IFAC Proceedings Volumes

An indirect variable structure model reference adaptive control applied to the speed control of a three-phase induction motor

de Oliveira, JB;de Araujo, AD;

2004

PROCEEDINGS OF THE 2004 AMERICAN CONTROL CONFERENCE, VOLS 1-6

Variable Structure Adaptive Backstepping Controller for Plants with Arbitrary Relative Degree Based on Modular Design

Queiroz, K;Araujo, A;Fernandes, M;Dias, S;Oliveira, J;

2010

2010 AMERICAN CONTROL CONFERENCE

View all publications

Supervised theses

Explainability of Rare Events

Bruno Brandão Teixeira

M - 2024

UP-FEP

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