INESC TEC
INESC TEC
INESC TEC
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António Valente

António Valente

I'm Antonio Valente and I was graduated in Electrical Engineering from University of Trás-os-Montes and Alto Douro (UTAD), Portugal in 1994, and in 1999 I've taked a MsC degree in Industrial Electronics from University of Minho, Portugal. I've obtained in 2003 a PhD degree at UTAD, working in the field of micro-systems for agriculture. Presently, I'm an Associate Professor with Habilitation in the Department of Engineering, UTAD, and director of the same department. I'm a senior researcher at Institute for Systems and Computer Engineering - Technology and Science (INESC TEC). I was chairman of ICARSC 2015 and local organizer of Robótica 2015, Vila Real, Portugal. I'm also the organizer of Portuguese Micromouse Contest (robotics competition organized annually). My professional interests are in sensors, MEMS sensors, microcontrollers, and embedded systems, with application focus to agriculture.

Projects

Zypho 4.0

The energy consumption of buildings in Europe corresponds to approximately 40% of total energy consumption, with heating and cooling of buildings being the largest source of energy demand in Europe. On the other hand, about 75% of existing buildings, public and private, have an energy performance below the requirements of the Energy Performance of Buildings Directive (EPBD - 2018/844 / EU). Taking that into account, the potential for rationalizing energy consumption in buildings is very large, and it is estimated that more than 50% of consumption can be reduced through energy efficiency measures. It is in this context that the consortium of ZYPHO 4.0 project intends to respond to a set of critical factors and failures identified in the market and to develop an innovative, modular and eco-efficient system for the recovery and storage of thermal energy (which allows to bridge the gap between recovery and reuse of residual heat) in service buildings, incorporating automation and control systems, and computerized energy management tools that permit monitoring the performance of thermal energy recovery and storage technologies to be developed, as well as supporting the integrated management of production and consumption of thermal energy through predictive control algorithms, artificial intelligence (AI) and machine learning that enable the constant optimization of the process and facilitate decision making by the user. The objectives of the energy management component will be operationalized through an IoT - Internet of Things - platform that will, in addition to other features, facilitate the scaling of the use of thermal energy, according to several parameters, among which, for example, thermal energy available in the storage system and the evaluation of the availability of the solar resource (in the case of buildings with installed solar thermal system), promoting the reduction of operational costs

Zypho 4.0

SAFE

Sistema de Monitorização e Alerta Florestal
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Publications

Matter Protocol Integration Using Espressif's Solutions to Achieve Smart Home Interoperability

Mota, A;Serôdio, C;Valente, A;

2024

ELECTRONICS

Designing Stemie, the Evolution of the Kid Grígora Educational Robot

Barradas, R;Lencastre, JA;Soares, S;Valente, A;

2024

Proceedings of the 16th International Conference on Computer Supported Education, CSEDU 2024, Angers, France, May 2-4, 2024, Volume 1.

Hybrid Localization Solution for Autonomous Mobile Robots in Complex Environments

Rebelo, PM;Valente, A;Oliveira, PM;Sobreira, H;Costa, P;

2024

ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE ADVANCES IN ROBOTICS, VOL 1

Incorporating an Intelligent System Based on a Quantum Algorithm into Predictive Analysis for Screening COVID-19 Patients

Saraiva, AA;da Silva, JPO;Moura Sousa, JV;Fonseca Ferreira, NM;Soares, SP;Valente, A;

2024

Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2024, Volume 1, Rome, Italy, February 21-23, 2024.

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Supervised theses

Mobile Node Emulator for 5G Integrated Access and Backhaul Networks

Ivan Cojocaru

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