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Cláudia Daniela Rocha

Cláudia Daniela Rocha

I hold a Master degree in Bioengineering with specialization in Biomedical Engineering from Faculty of Engineering of the University of Porto, Portugal. I landed a thesis proposal where I had to develop an autonomous robotic system with the ability to reproduce repetitive tasks in a lab environment. During the degree, the passion for applied robotics emerged, so I decided to pursue it in order to integrate and further improve the knowledge in areas such as mechanics, electronics, computer science and biomedics. I joined the CRIIS group which belongs to INESC TEC, in September 2016 as a R&D engineer with responsibilities in developing new robotic solutions to handle industrial problems. My main activities include system mechanical modelation, electronics and software development.

Publications

A Robotic Framework for the Robot@Factory 4.0 Competition

Sousa, RB;Rocha, CD;Martins, JG;Costa, JP;Padrao, JT;Sarmento, JM;Carvalho, JP;Lopes, MS;Costa, PG;Moreira, AP;

2024

2024 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS, ICARSC

Inspection of Part Placement Within Containers Using Point Cloud Overlap Analysis for an Automotive Production Line

Costa C.M.;Dias J.;Nascimento R.;Rocha C.;Veiga G.;Sousa A.;Thomas U.;Rocha L.;

2024

Lecture Notes in Mechanical Engineering

Quality Control of Casting Aluminum Parts: A Comparison of Deep Learning Models for Filings Detection

Nascimento, R;Ferreira, T;Rocha, C;Filipe, V;Silva, MF;Veiga, G;Rocha, L;

2023

2023 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS, ICARSC

Knee positioning systems for X-ray environment: a literature review

Lopes, C;Vilaca, A;Rocha, C;Mendes, J;

2023

PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE

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Supervised Theses

Computer-Generated Supermarket Store Layout

Tiago Manuel Azevedo Monteiro

M - 2024

UP-FEP

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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