INESC TEC
INESC TEC
INESC TEC
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Daniel Queirós Silva

Daniel Queirós Silva

Assistant Researcher

Daniel Queirós da Silva was born in Ermesinde, Porto, Portugal, in 1997. He obtained the M.Sc. degree in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto (FEUP) in 2020, and the Ph.D. degree in Electrical and Computer Engineering from the University of Trás-os-Montes and Alto Douro (UTAD) in 2024. He is currently a Researcher at INESC Technology and Science (INESC TEC) and an Invited Assistant Lecturer at the School of Engineering of the Polytechnic of Porto (ISEP). His main research interests are perception systems, artificial intelligence, robotics and embedded systems.

Publications

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

Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions

Pinheiro, I;Moreira, G;da Silva, DQ;Magalhaes, S;Valente, A;Oliveira, PM;Cunha, M;Santos, F;

2023

AGRONOMY-BASEL

Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops

Rodrigues, L;Magalhaes, SA;da Silva, DQ;dos Santos, FN;Cunha, M;

2023

AGRONOMY-BASEL

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

View all publications

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

Information and Contacts

Phone
+351220413317
Email
[email protected]
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