INESC TEC
INESC TEC
INESC TEC
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José Boaventura

José Boaventura

Research Coordinator

José Boaventura-Cunha is an Engineer in Electronics and Telecommunications from the University of Aveiro (1985) and has a PhD in Electrotechnical and Computer Engineering from UTAD-University of Trás-os-Montes and Alto Douro, Portugal (2002). Currently holds the position of Full Professor at the the School of Sciences and Technology of UTAD.

Since 2012 he is a member of the CRIIS-Center for Robotics in Industry and Intelligent Systems at INESC TEC - Institute of Systems and Computer Engineering, Technology and Science and is Coordinator of the pole of INESC TEC at UTAD.

His research interests are related to the areas of Instrumentation, modeling and control applied to industrial and agro-forestry processes.

Domains

Publications

CDM controller order and disturbance rejection ability

Coelho, João Paulo;Giernacki, Wojciech;Boaventura-Cunha, José;

2014

ICCIT 2014: International Conference on Control and Information Technology

A new brain emotional learning simulink toolbox for control systems design

Coelho, João Paulo;Pinho, Tatiana M.;Boaventura-Cunha, José;Oliveira, Josenalde;

2017

IFAC 2017 World Congress

Hidden Markov models: theory and Implementation using MATLAB®

Coelho, João Paulo;Pinho, Tatiana M.;Boaventura-Cunha, José;

2019

Enhancing Grapevine Node Detection to Support Pruning Automation: Leveraging State-of-the-Art YOLO Detection Models for 2D Image Analysis

Oliveira, F;da Silva, DQ;Filipe, V;Pinho, TM;Cunha, M;Cunha, JB;dos Santos, FN;

2024

SENSORS

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Supervised Theses

Localization and Mapping based on Semantic and Multi-Layer Maps Concepts

André Silva Pinto de Aguiar

D - 2020

UTAD-ECT

Adaptive grasping planning: a novel unified and modular grasping pipeline architecture

João Pedro Carvalho de Souza

D - 2021

UTAD-ECT

Localizatiion and mapping based on semantic and multi-layer maps concepts

André Silva Pinto de Aguiar

D - 2021

UP-FEUP

Localization and Mapping Based on Semantic and Multi-layer Maps Concepts

André Silva Pinto de Aguiar

D - 2022

UTAD-ECT

See more supervised theses

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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