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Sobre

Sobre

Doutorado pela Faculdade de Engenharia da Universidade do Porto em Fevereiro de 2004, após apresentação e discussão do trabalho da tese “Teste Dinâmico de Conversores Analógico/Digitais – Novos Métodos de Cálculo de Parâmetros de Caracterização Funcional”.

Professor Auxiliar do Departamento de Engenharia Eletrotécnica e de Computadores da Faculdade de Engenharia da Universidade do Porto (DEEC-FEUP) onde leciona unidades curriculares nas áreas da Eletrónica e Microprocessadores.

Investigador integrado do INESC TEC sendo Coordenador no CRIIS (Centro de Robótica Industrial e Sistema Inteligentes) onde participa em vários projetos científicos.

As suas competências e interesses incluem a Robótica industrial, Sistemas de automação e controlo, Redes industriais, Sistemas Embebidos, Industry 4.0 e Internet of Things.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Hélio Mendonça
  • Cargo

    Investigador Sénior
  • Desde

    01 janeiro 1995
011
Publicações

2024

Vision-Based Smart Sprayer for Precision Farming

Autores
Deguchi, T; Baltazar, AR; dos Santos, FN; Mendonça, H;

Publicação
ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE, VOL 2

Abstract
Since the advent of agriculture, humans have considered phytopharmaceutical products to control pests and reduce losses in farming. Sometimes some of these products, such pesticides, can potentially harm the soil life. In the literature there is evidence that AI and image processing can have a positive contribution to reduce phytopharmaceutical losses, when used in variable rate sprayers. However, it is possible to improve the existing sprayer system's precision, accuracy, and mechanical aspects. This work proposes spraying solution called GraDeS solution (Grape Detection Sprayer). GraDeS solution is a sprayer with two degrees of freedom, controlled by a AI-based algorithm to precisely treat grape bunches diseases. The experiments with the designed sprayer showed two key points. First, the deep learning algorithm recognized and tracked grape bunches. Even with structure movement and bunch covering, the algorithm employs several strategies to keep track of the discovered objects. Second, the robotic sprayer can improve precision in specified areas, such as exclusively spraying grape bunches. Because of the structure's reduced size, the system can be used in medium and small robots.

2024

Image and Command Transmission Over the 5G Network for Teleoperation of Mobile Robots

Autores
Levin, TB; Oliveira, JM; Sousa, RB; Silva, MF; Parreira, BS; Sobreira, HM; Mendonça, HS;

Publicação
2024 7TH IBERIAN ROBOTICS CONFERENCE, ROBOT 2024

Abstract
Human oversight can benefit scenarios with complex tasks, such as pallet docking and loading and unloading containers, beyond the current capabilities of autonomous systems without any failures. Furthermore, teleoperation systems allow remote control of mobile ground robots, especially with the surge of 5G technology that promises reliable and low latency communication. Current works research on exploring the latest features from the 5G standard, including ultra-Reliable Low-Latency Communication (uRLLC) and network slicing. However, these features may not be available depending on the Internet Service Provider (ISP) and communication devices. Thus, this work proposes a network architecture for the teleoperation of ground mobile robots in industrial environments using commercially available devices over the 5G Non-Standalone (NSA) standard. Experimental results include an evaluation of the network and End-to-End (E2E) latency of the proposed system. The results show that the proposed architecture enables teleoperation, achieving an average E2E latency of 347.19 ms.

2024

Collaborative learning using open-source FPGA-based under water ultrasonic system

Autores
Lemaire, E; Busseuil, R; Chemla, J; Certon, D; Zambelli, C; Cruz de la Torre, C; Gardel Vicente, A; Bravo, I; Mendonça, H; Alves, JC;

Publicação

Abstract
The Digital electronics collaborative enhanced learning (DECEL) project has recently developed an international collaborative education course. Its main objective is to enhance the digital electronics skills of international students by working on a complex, multidisciplinary applied problem using a mixed digital architecture. We have developed a logic level synthesis and dedicated software layers on the Red Pitaya FPGA platform. The diversity of digital concepts to be implemented, from hardware description language (HDL) to high-level languages such as Python or Matlab, forced the students to work together and rapidly improve their skills. Their motivation was fueled by the curiosity of controlling an ultrasound probe to obtain ultrasound signatures. This particular physics, little known to the students, was an additional source of curiosity. The goal of forming an image in a liquid medium was an additional motivating factor for them. The students reported that they learned a lot from the experiment. Thus, the technical parts and pedagogical results are documented in this work for reproducibility.

2024

Integrating Internationalization and Online Collaborative Strategies in Digital Electronics Education: Exploring IaH, COIL, PBL, and RRL Approaches for Enhanced Learning

Autores
Zambelli, C; Favalli, M; Olivo, P; Bravo, I; Gardel, A; Alves, JC; Mendonça, H; Lemaire, E; Busseuil, R; cruz, c;

Publicação

Abstract

This document is intended to present a benchmark of multiple good practices in the context of internationalization studies, particularly focused on digital electronics and programmable devices, yet is not limited to them. This paper will start with a comprehensive paper desk analysis together with an in-depth research process that should lead to the selection of innovative tools applied to digital systems. International initiatives are oriented towards increasing the quality of higher education by motivating teachers of STEM disciplines to use a multidisciplinary approach and teach with the massive support of technologies like Classroom, MS-Teams, Blackboard, etc. The central goal is to suggest and recommend a model for integrating intermediate and advanced digital electronics subjects (e.g., FPGA, microcontrollers, etc.) and ICT in international teaching approaches such as Collaborative Online International Learning (COIL), Project-based Learning (PBL) and Real Remote Labs (RRL). This is the approach sought by the European Project DECEL.

2024

A MQTT-based infrastructure to support Cooperative Online Learning Activities

Autores
Mendonca H.S.; Zambelli C.; Alves J.C.;

Publicação
2024 39th Conference on Design of Circuits and Integrated Systems, DCIS 2024

Abstract
Teaching the processes of designing digital electronic systems is becoming an increasingly challenging task. Design methodologies and tools have evolved to cope with the evergrowing complexity and density, raising the abstraction level of the source design far away from the logic circuit. However, it is of paramount importance that fresh students start by understanding the fundamental concepts of Boolean algebra, design, and optimization of combinational and sequential gate-level circuits, before moving to higher abstract concepts and tools. For this, hands-on practice with simple real digital circuits is essential to understanding the essentials of the operation of digital circuits and how digital data is propagated and transformed from block to block. In this paper we present a distributed infrastructure based on the network protocol MQTT to support the deployment of distributed digital systems built with parts located in different physical locations. Thus, promoting the implementation of collaborative online learning/teaching activities will be one of our main goals. Experimental results show latencies between remote sites in the range of a few tens of milliseconds, which is acceptable for running simple digital systems at low speeds, which is necessary for being perceived and understanded by people.

Teses
supervisionadas

2023

AI and Android Powered Robotic Solution for Precision Agriculture

Autor
Inês Silva Santos

Instituição
UP-FEUP

2023

Vision-based Smart Sprayer for Precision Farming

Autor
Thaidy Deguchi

Instituição
UP-FEUP

2022

Otimização do Desempenho de Redes Neuronais em Sistemas Embarcados

Autor
João António de Brito Ferreira Gonçalves

Instituição
UP-FEUP

2022

Edge AI for Image Analysis and Defect Detection

Autor
Diogo Afonso Correia Remião

Instituição
UP-FEUP

2021

Infrastructure Management Tool

Autor
Francisco Fernandes Machado

Instituição
UP-FEUP