INESC TEC
INESC TEC
INESC TEC
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Mário Cunha

Mário Cunha

Senior Researcher

Publications

Assessing Soil Ripping Depth for Precision Forestry with a Cost-Effective Contactless Sensing System

da Silva, DQ;Louro, F;dos Santos, FN;Filipe, V;Sousa, AJ;Cunha, M;Carvalho, JL;

2024

ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE, VOL 2

Synergizing Crop Growth Models and Digital Phenotyping: The Design of a Cost-Effective Internet of Things-Based Sensing Network

Rodrigues, L;Moura, P;Terra, F;Carvalho, AM;Sarmento, J;dos Santos, FN;Cunha, M;

2023

The 3rd International Electronic Conference on Agronomy

Robotic Pollinating Tools for Actinidia Crops

Pinheiro, I;Santos, F;Valente, A;Cunha, M;

2023

The 3rd International Electronic Conference on Agronomy

Phenobot - Intelligent photonics for molecular phenotyping in Precision Viticulture

Martins, RC;Cunha, M;Santos, F;Tosin, R;Barroso, TG;Silva, F;Queirós, C;Pereira, MR;Moura, P;Pinho, T;Boaventura, J;Magalhães, S;Aguiar, AS;Silvestre, J;Damásio, M;Amador, R;Barbosa, C;Martins, C;Araújo, J;Vidal, JP;Rodrigues, F;Maia, M;Rodrigues, V;Garcia, A;Raimundo, D;Trindade, M;Pestana, C;Maia, P;

2023

BIO Web of Conferences

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Supervised Theses

Quantificação e valoração de serviços de ecossistema das árvores monumentais da cidade do Porto

Isabel Cristina Jesus Duarte

M - 2019

UP-FCUP

Deteção e identificação precoce de doenças das plantas provocadas por bactérias com base na reflectância hiperespectral numa ótica de agricultura de precisão

Mafalda Alexandra Reis Pereira

D - 2019

UP-FCUP

Integration of Remote and ground sensors into a decision support system for site-specific vineyard management

Alexandra Melro de Campos Moreira

D - 2019

UP-FCUP

MAPC_vinha: Modelos Aeropolinicos de Previsão de Colheita para a vinha com integração de dados de deteção remota e cenários climáticos

Joana Soraia Rosas Pereira

D - 2019

UP-FCUP

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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