Hugo Miguel Silva

Hugo Miguel Silva was born in Porto, Portugal 1979. He finished is lic. degree in Electrical and Electronic Engineering from ISEP Porto Polytechnic School in 2004. He pursue further studies and obtained his Master in Electronics and Computers Engineering, from IST University of Lisbon in 2008.

In 2009 he obtained a PhD Scholarship from Portuguese Science Foundation (FCT), and graduated (Phd) in Electronics and Computers Engineering, from IST University of Lisbon in 2014.

He currently works in INESC TEC as a senior researcher, where he is project member in several international FP7, H2020 (SUNNY, VAMOS) projects.

He is the main author of several research publications in the domains of computer vision and mobile robotics applications.

Domains

Robotics and Autonomous Systems Artificial Intelligence Robotics

Projects

SUNNY

The goal of project SUNNY is to develop and integrate novel and comprehensive solutions for intelligent surveillance of borders (land and sea). The solutions will detect crossing and illegal entry using a heterogeneous network of sensors carried by Unmanned Aerial Vehicles (UAVs). The developed SUNNY system will be able to monitor large maritime or terrestrial border areas and to detect and track targets and intended incursions.

Smart UNmanned aerial vehicle sensor Network for detection of border crossing and illegal entrY

VAMOS

"¡VAMOS! will enable access to high grade EU reserves of deep-seated minerals by providing a new safe, clean and low visibility mining technique. Furthermore, the project will prove the environmental and economic viability of extracting currently unreachable mineral deposits, thus encouraging investments and helping to safeguard the EU access to strategically important minerals.

Viable Alternative Mine Operating System

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Publications

A Preliminary Study on Spectral Unmixing for Marine Plastic Debris Surveying

Maravalhas Silva, J;Silva, H;Lima, AP;Silva, E;

2024

OCEANS 2024 - Singapore

Multibeam Multi-Frequency Characterization of Water Column Litter

Guedes, PA;Silva, H;Wang, S;Martins, A;Almeida, JM;Silva, E;

2024

OCEANS 2024 - Singapore

The MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios

Riz L.;Caraffa A.;Bortolon M.;Mekhalfi M.L.;Boscaini D.;Moura A.;Antunes J.;Dias A.;Silva H.;Leonidou A.;Constantinides C.;Keleshis C.;Abate D.;Poiesi F.;

2023

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

A Real Time Vision System for Autonomous Systems: Characterization during a Middle Size Match

Silva, H;Almeida, JM;Lima, L;Martins, A;da Silva, EP;

2007

RoboCup 2007: Robot Soccer World Cup XI, July 9-10, 2007, Atlanta, GA, USA

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Supervised theses

A Decision Framework for the Implementation of Technologies in Talent Management within Organisations

Helena Maria Rodrigues Ferreira

D - 2023

UAb

Centres

Robotics and Autonomous Systems

The Centre for Robotics and Autonomous Systems (CRAS) focuses on developing innovative robotic solutions for operation in complex environments. Each day, our researchers strive to map the unknown, creating solutions to explore the oceans’ depths, monitor the environment, or inspect infrastructures. Our goal? To become a global reference in robotics and autonomous systems, combining expertise in multisensory perception and 3D modelling, navigation and control, robotic manipulation and intervention - pushing the boundaries of autonomous robotics and integrating aerial, ground, and underwater robots into our solutions. Focusing on Technology Readiness Levels (TRL) between 5 and 8, CRAS develops prototypes and operational solutions for strategic sectors. Our laboratory infrastructure includes test tanks, prototyping workshops, and a wide range of equipment ready to operate in real-world environments. Our researchers also resort to Mar Profundo, a support vessel for testing and validating innovative maritime technologies - a key asset in bridging theoretical design and field validation. CRAS stands out for a practical approach: we combine advanced research with a strong focus on real-world applications, reducing human risk in hazardous missions, optimising operations and processes, and expanding the frontiers of autonomous robotics.