INESC TEC
INESC TEC
INESC TEC
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José Lima

José Lima

José Lima received the M.Sc. and PhD in Electrical and Computer Engineering on Faculty of Engineering of University of Porto, Portugal in 2001 and 2009. He joined the Polytechnic Institute of Bragança in 2002, and currently he is a Coordinator Professor and head of the Electrical Engineering Department of that school. He is also a vice coordinator of the Research Centre in Digitalization and Intelligent Robotics, and Member of the coordination council of the Centre for Robotics in Industry and Intelligent Systems group of the INESC TEC (Institute for Systems and Computer Engineering of Porto, Portugal). He has published more than 150 papers in international scientific journals and conference proceedings. In addition, he participated and juried some autonomous mobile robotics competitions and developed industrial applications. Moreover, his research interests are in the field of mobile robotics, simulation and IoT. He participated as researcher or PI in some national, FP7 and H2020 funded projects. He supervised more than 60 Master degree students and is actually supervising 8 PhD.

Domains

Publications

Route Optimization for Urban Last-Mile Delivery: Truck vs. Drone Performance

Silva, AS;Berger, GS;Mendes, J;Brito, T;Lima, J;Gomes, HT;Pereira, AI;

2024

OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, OL2A 2024, PT I

Effect of Weather Conditions and Transactions Records on Work Accidents in the Retail Sector - A Case Study

Borges, LD;Sena, I;Marcelino, V;Silva, FG;Fernandes, FP;Pacheco, MF;Vaz, CB;Lima, J;Pereira, AI;

2024

OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, PT I, OL2A 2023

Time-Dependency of Guided Local Search to Solve the Capacitated Vehicle Routing Problem with Time Windows

Silva, AS;Lima, J;Silva, AMT;Gomes, HT;Pereira, AI;

2024

OPTIMIZATION, LEARNING ALGORITHMS AND APPLICATIONS, PT I, OL2A 2023

Deep learning networks for olive cultivar identification: A comprehensive analysis of convolutional neural networks

Mendes, J;Lima, J;Costa, L;Rodrigues, N;Pereira, AI;

2024

SMART AGRICULTURAL TECHNOLOGY

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Supervised Theses

Application of Lean methodologies in Information Security processes improvement

Francisco Ribeiro Pereira da Silva

M - 2021

UP-FEUP

Sistema Inteligente de Deteção de Pessoas para Robôs Móveis Autónomos de Desinfeção

Hugo Lima Mendonça

M - 2021

UP-FEUP

Simulation and Planning of a 3D Spray Painting Robotic System

João Marcelo Casanova Almeida Tomé Santos

M - 2021

UP-FEUP

Articulação Modular para Braços Robóticos

Marco António Mendonça Rocha

M - 2021

UP-FEUP

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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