INESC TEC
INESC TEC
INESC TEC
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Eduardo Pires

Eduardo Pires

Senior Researcher

E. J. Solteiro Pires received the B.Sc. degree in electrical engineering from the University of Coimbra, Coimbra, Portugal, in 1994, the M.Sc. degree in electrical and computer engineering from the University of Porto, Porto, Portugal, in 1999, and the Ph.D. degree from the University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal, in 2006. He is currently an Auxiliary Professor with UTAD. His current research interests include evolutionary computation, soft computing, multiobjective problems, and robotics.

 

Publications

Riding with Intelligence: Advanced Rider Assistance Systems Proposal

Silva, J;Ullah, Z;Reis, A;Pires, E;Pendao, C;Filipe, V;

2025

DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, SPECIAL SESSIONS I, 21ST INTERNATIONAL CONFERENCE

Optimization of the Workpiece Location in a Machining Robotic Cell

Lopes, AM;Pires, EJS;

2011

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS

Design of a Parallel Robotic Manipulator using Evolutionary Computing Regular Paper

Lopes, AM;Pires, EJS;Barbosa, MR;

2012

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS

Complete Dynamic Modeling of a Stewart Platform Using the Generalized Momentum Approach

Lopes, AM;Pires, EJS;

2011

NONLINEAR SCIENCE AND COMPLEXITY

View all publications

Supervised Theses

ADAPT – Plataforma Adaptativa de Ensino à Distância

Eduardo Jorge Dinis Pratas

D - 2019

UTAD-ECT

Chat Bot -o diagmóstico de bolso

Duarte Rui Afonso Gomes Tavares do Amaral

M - 2019

UTAD-ECT

Classificação de doenças neurodegenerativas baseada na locomoção humana

Filipa Daniela Azevedo da Silva

M - 2020

UP-FEUP

Revisão de técnicas de pesquisa inspiradas em enxames

Daniel da Silva Duarte

M - 2021

UTAD-ECT

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

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