INESC TEC
INESC TEC
INESC TEC
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Carlos Miguel Costa

Carlos Miguel Costa

Researcher

I'm a fast learner software engineer, always looking to expand my knowledge in new technologies and with great interest in science (computer science and engineering, robotics, biotechnology, space exploration, among others).

My main research areas are augmented reality, 3D perception, computer vision, safety critical systems, assembly automation, localization and mapping of autonomous vehicles among many others within the industrial and mobile robotics fields.

Domains

Publications

COGNITIVE WORKLOAD AND FATIGUE IN A HUMAN-ROBOT COLLABORATIVE ASSEMBLY WORKSTATION: A PILOT STUDY

Joana Santos;Mariana Ferraz;Ana Pinto;Luis F. Rocha;Carlos M. Costa;Ana C. Simões;Klass Bombeke;M.A.P. Vaz;

2024

International Symposium on Occupational Safety and Hygiene: Proceedings Book of the SHO2023

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

Costa, CM;Dias, J;Nascimento, R;Rocha, C;Veiga, G;Sousa, A;Thomas, U;Rocha, L;

2024

FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING: ESTABLISHING BRIDGES FOR MORE SUSTAINABLE MANUFACTURING SYSTEMS, FAIM 2023, VOL 1

Distributed Prime Sieve in Heterogeneous Computer Clusters

Costa, CM;Sampaio, AM;Barbosa, JG;

2014

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2014, PT IV

Bin Picking for Ship-Building Logistics Using Perception and Grasping Systems

Cordeiro, A;Souza, JP;Costa, CM;Filipe, V;Rocha, LF;Silva, MF;

2023

ROBOTICS

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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