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INESC TEC
INESC TEC
INESC TEC
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INESC TEC

Robotics in Industry and Intelligent Systems

About the Centre

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.

Selected Publications

Vineyard trunk detection using deep learning - An experimental device benchmark

Pinto de Aguiar, ASP;Neves dos Santos, FBN;Feliz dos Santos, LCF;de Jesus Filipe, VMD;Miranda de Sousa, AJM;

2020

COMPUTERS AND ELECTRONICS IN AGRICULTURE

A systematic literature review on long-term localization and mapping for mobile robots

Sousa, RB;Sobreira, HM;Moreira, AP;

2023

JOURNAL OF FIELD ROBOTICS

Deep learning-based human action recognition to leverage context awareness in collaborative assembly

Moutinho, D;Rocha, LF;Costa, CM;Teixeira, LF;Veiga, G;

2023

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Assessment of Multiple Fiducial Marker Trackers on Hololens 2

Costa, GM;Petry, MR;Martins, JG;Moreira, APGM;

2024

IEEE ACCESS

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News & Events

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Supervised Theses

Design and construction of cost effective VTOL drone for agricultural and forestry application

Ahmad Safaee

D - 2019

UP-FEUP

A User-centric Approach to Locomotion Supporting Systems

Diana Alves Lobo Guimarães

D - 2019

UP-FEUP

Open Scalable Production System: An Industry 4.0 Framework for Cyber-Physical Systems

Rafael Lírio Arrais

D - 2019

UP-FEUP

Hybrid Legged-Wheeled Locomotion System for Robotic Vehicles

Vítor Hugo Machado Oliveira Pinto

D - 2019

UP-FEUP

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