Current research projects

Old stuff

Indoor Positioning Systems

Positioning systems are required today in many contexts. For outdoor applications, GPS is, by far, the most widespred solutions. But GPS requires line of sight to a number of satellites and therefore cannot be used indoors. As such, several alternatives have emerged for indoor positioning. One of them is based in Visible Light Communication systems.

One of my interests is the application of Visible Light Communication systems to Indoor Positioning.

Year Degree Student name Title
2023/24 MRSI Mateus Alexandre Marques Araújo Visible Light Positioning for Industry 4.0 Digital Twins
2022/23 MIEC João Pedro Rebolo Vieira Indoor Visible Light Positioning System with Artificial Neural Networks
2022/23 MIEET Renato Samuel Oliveira Barros Rocha Machine Learning for Visible Light Positioning with Non-Imaging Sensors
2022/23 MIEET Guilherme Jorge Lopes Cajeira Visible Light Positioning for Robot Squads
2022/23 MEET Miguel Seabra da Silva Indoor positioning for unmanned aerial vehicles with unmodulated light sources
2021/22 MIEET Diogo Alexandre Agostinho Vala Ground Truth System for Validation of Indoor Positioning Systems
2020/21 MIEET Celso Daniel dos Santos Pereira OWC for indoor localization in mobile robotics
2018/19 MIEET Miguel Lopes Rêgo Visible Light Positioning based on camera and sensor fusion
2018/19 MIEET André Neto Gradim Machine Learning for Visible Light Positioning of Mobile Agents
2018/19 MIEET Pedro Alexandre Tavares Rodrigues Robotic Platform for Visible Light Positioning
2015/16 MIEET Miguel Castro Miguéis Vieira VLC based position estimation for robotic navigation
2015/16 MIEET António Pedro Gonçalves Vilas-Boas Sistema de Iluminação para Posicionamento em Ambientes Interiores de um Agente Móvel
2014/15 MIEET Filipe Manuel Lourenço Duarte Visible Light Indoor Positioning for Mobile Robots

Embedded Systems

Motivation: widespread usage of embedded systems requires a high-level of confidence in system’s behavior. Example of application: self-driven cars. Correct methodologies and tools play a fundamental role in reliably transforming user/customer requirements into executable code.

Problem: how to guarantee that an embedded system

  • Fulfills specifications and requirements (functional, normative, …)
  • Is maintainable and evolutive
  • Has no errors

Line(s) of work: study the application of Agile methods to Embedded Systems. Exploit tools and methods, such as TDD (Test-Driven Development), Unit-Testing, Peer-Programming, in the context of embedded systems.

Year Degree Student name Title
2022/23 MIEET Mário Gabriel Rodrigues da Rocha Dias Low-power embedded system for acquisition and transmission of piezoresistive sensor measurements
2020/21 MIEET Francisco Bártolo Ribeiro Pinto Framework para Sistema de Gestão Técnica Centralizado
2020/21 MIEET Hugo David Pinto Santos Sistema de Manipulação Robótica para marcação a laser
2019/20 MIEET Rui Filipe Santos Carapinha Projeto I-RoCS: Sistema de visão para monitorização da sujidade no chão de unidades industriais
2019/20 MIEET João Miguel Soares Ferreira Desenvolvimento de um Sistema de Gestão Técnica Centralizado
2019/20 MIEET Ricardo Jorge Gonçalves Bases de dados tempo-real para Indústria 4.0
2019/20 MIEET Álvaro Luís de Amorim Vaz Smart Objects para a Indústria 4.0
2019/20 MIEET Miguel Jorge Ferreira Energy Management in Industry 4.0 environments
2019/20 MIEET Pedro Rafael Pereira Da Costa Luzeiro Sistema de aquisição de dados WI-FI para integração em máquina de soldadura
2019/20 MIEET João André de Jesus Cruz Telemetria para Vasilhame baseada em IoT
2019/20 MEAI Luís Emanuel Ferreira Cristóvão Sistema de Telemetria para o concurso MotoStudent
2018/19 MIEET João Ricardo Mateus Bastos Simões Network infrastructures for industry 4.0: a proof of concept on IoT 2020
2016/17 MIEET João Eduardo Terlica Lagoa Sistemas embedded de muito baixo consumo para redes LPWAN
2014/15 MIEET Diogo Micael Repas Curto Sistemas de Deteção por Infravermelhos de Muito Baixo Consumo / Low-Power, Highly Reliable IR Range Detection Systems
2013/14 MIECT Tiago Fernando Alves de Freitas Práticas Ágeis no Desenvolvimento de Sistemas Embutidos
2012/13 MIEET Hugo Rafael Mendes Tavares Metodologias de desenvolvimento de sistemas embedded
2012/13 MIEET Tiago Emanuel Urze Afonso FPGA e sistemas embutidos multi-core para processamento de vídeo
2012/13 MIEET André Pires Ramos Sistemas sem fios para carga de baterias
2011/12 MIEET Tiago José Carvalho Cantão Proposta de gateway para redes de sensores sem fios
2011/12 MIEET João Daniel Resende Lopes Estudo de métodos de calibração de sensores capacitivos

Industrial Automation

PRODUTECH

Logo Produtech

PRODUTECH - Production Technologies Cluster is an articulated network of manufacturing technology providers capable of responding to both competitiveness and sustainability challenges and to the manufacturing industry’s requirements with innovative, flexible, integrated and competitive solutions.” (From PRODUTECH website)

PRODUTECH is in charge of PRODUTECH-SIF, a major Industrial R&D programme, involving 47 partners, from industry, academia and sector associations.

I am currently coordinating the University of Aveiro participation in PRODUTECH-SIF and I am in charge of activity A1.3, “Framework for Data Acquisition in Networked Production Environments” in PPS1 work package, “Networked Production Systems”.

Total project funding:7,805,049 €
University of Aveiro funding:407,045 €
Year Degree Student name Title
2021/22 MIEET Diogo Barbosa Fernandes Automatic 3D parts laser marking system
2020/21 MEAI Luis Paulo Mendes Dias Arquiteturas e configurações de AGVs da próxima geração
2020/21 MEAI Bruno Miguel Morgado das Neves Simulation/virtual commissioning of machine and process simulation
2020/21 MIEET Agostinho Pires Projeto i-RoCS: sistema de deteção de sujidade baseada em visão por computador
2020/21 MIEET Hugo David Pinto Santos Sistema de Manipulação Robótica para marcação a laser
2019/20 MIEET Rui Filipe Santos Carapinha Projeto I-RoCS: Sistema de visão para monitorização da sujidade no chão de unidades industriais
2019/20 MIEET João Miguel Soares Ferreira Desenvolvimento de um Sistema de Gestão Técnica Centralizado
2019/20 MIEET Ricardo Jorge Gonçalves Bases de dados tempo-real para Indústria 4.0
2019/20 MIEET Álvaro Luís de Amorim Vaz Smart Objects para a Indústria 4.0
2019/20 MIEET Miguel Jorge Ferreira Energy Management in Industry 4.0 environments
2018/19 MIEET João Ricardo Mateus Bastos Simões Network infrastructures for industry 4.0: a proof of concept on IoT 2020
2016/17 MEAI André Gordo Saraiva Estágio de projeto elétrico, automação e robótica industrial (Linha montagem bombas óleo caudal variável)
2015/16 MEAI André Domingos da Costa Pinheiro Sistema de automação e gestão visual da fábrica