Luís Paulo Reis

ORCID: 0000-0002-4709-1718
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About
Contact & Profiles
Research Areas
  • Reinforcement Learning in Robotics
  • Artificial Intelligence in Games
  • Gaze Tracking and Assistive Technology
  • Robotic Locomotion and Control
  • Sports Analytics and Performance
  • Robotic Path Planning Algorithms
  • Multi-Agent Systems and Negotiation
  • Robotics and Automated Systems
  • Gambling Behavior and Treatments
  • Prosthetics and Rehabilitation Robotics
  • Advanced Software Engineering Methodologies
  • Context-Aware Activity Recognition Systems
  • Assistive Technology in Communication and Mobility
  • Stroke Rehabilitation and Recovery
  • Evolutionary Algorithms and Applications
  • Modular Robots and Swarm Intelligence
  • Video Analysis and Summarization
  • Hand Gesture Recognition Systems
  • EEG and Brain-Computer Interfaces
  • Simulation Techniques and Applications
  • Robot Manipulation and Learning
  • Education and Digital Technologies
  • Educational Games and Gamification
  • Usability and User Interface Design
  • Human Pose and Action Recognition

Universidade do Porto
2016-2025

University of Aveiro
2014-2023

Université Libre de Bruxelles
2023

Ghent University
2022-2023

University of Coimbra
2023

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2022

University of Lisbon
2022

INESC TEC
2016-2020

University of Minho
2011-2018

Centro de Computação Gráfica
2016

Intelligent wheelchairs (IWs) can become an important solution to the challenge of assisting individuals who have disabilities and are thus unable perform their daily activities using classic powered wheelchairs. This article describes concept design IntellWheels, a modular platform facilitate development IWs through multiagent system paradigm. In fact, modularity is achieved not only in software perspective, but also generic hardware framework that was designed fit, straightforward manner,...

10.1682/jrrd.2010.08.0139 article EN The Journal of Rehabilitation Research and Development 2011-01-01

This article focuses on evaluating the usability of an intelligent wheelchair (IW) in both real and simulated environments. The is controlled at a high-level by flexible multimodal interface, using voice commands, facial expressions, head movements joystick as its main inputs. A quasi-experimental design was applied including deterministic sample with questionnaire that enabled to apply system scale. subjects were divided two independent samples: 46 individuals performing experiment IW...

10.1080/10400435.2012.723297 article EN Assistive Technology 2012-09-05

High-speed Pockels modulation and second-order nonlinearities are key components in optical systems, but CMOS-compatible platforms like silicon nitride lack these capabilities. Micro-transfer printing of thin-film lithium niobate offers a solution, suspending large areas thin films for long interaction lengths high-Q resonators is challenging, resulting low transfer yield. We present new source preparation method that enables reliable niobate. demonstrate its versatility by successfully...

10.1364/ome.494038 article EN cc-by Optical Materials Express 2023-06-13

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10.2139/ssrn.5085045 preprint EN 2025-01-01

Para dar resposta às exigências atuais de desenvolvimento capacidades e disposições Pensamento Crítico Criativo (PCC), foi concebido o Modelo Aprendizagem PCC com recurso a um modelo Inteligência Artificial Generativa – ChatGPT para alunos do ensino secundário. O (PCC_IAGen) apresenta seis etapas, nas quais surge como mentor, ferramenta simulador. Este estudo tem objetivos caraterizar os através da aplicação Teste uma Escala Disposições compreender evoluem as após PCC_IAGen. realizou-se em...

10.5212/praxeduc.v.20.24247.007 article PT Praxis Educativa 2025-01-27

Artificial neural networks (ANNs) have been used for classification tasks involving functional magnetic resonance imaging (fMRI), though typically focusing only on fractions of the brain in analysis. Recent work combined shallow (SNNs) with explainable artificial intelligence (xAI) techniques to extract insights into processes. While earlier studies validated this approach using motor task fMRI data, present study applies it Theory Mind (ToM) cognitive tasks, data from Human Connectome...

10.3390/make7010017 article EN cc-by Machine Learning and Knowledge Extraction 2025-02-13
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