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Carlos Miguel Costa
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.
Projects
Fasten
Industry 4.0 has now extended its focus to a broader set of technologies rather than just CPS, and to the most vital processes included in the product and production systems lifecycle, rather than just to production. In all the dialects where the Industry 4.0 language is spoken, Industrial Internet of Things, Additive Manufacturing and Robotics from the technology side and Mass Customization, Product-Service Systems and Sustainable Manufacturing from the business side always represent key cornerstones and top priority challenges. FASTEN “mission” is to develop, demonstrate, validate, and disseminate an integrated and modular framework for efficiently producing custom-designed products. More specifically, FASTEN will demonstrate an open and standardized framework to produce and deliver tailored-designed products, capable to run autonomously and deliver fast and low cost additive manufactured products. This will be achieved by effectively pairing digital integrated service/products to additive manufacturing processes, on top of tools for decentralizing decision-making and data interchange. Sophisticated software technologies for self-learning, self-optimizing, and advanced control will be applied to build a full connected additive manufacturing system. ThyssenKrupp and Embraer are two of these companies that must overcome challenges of this nature, in order to cope with an increasing demand diversity, products with shorter life cycles, and the need for supplying low volumes per order, requiring flexible solutions capable to effectively manufacture and deliver personalized products.
ColRobot
Project ColRobot’s main objective is to combine cutting-edge European robot technology and end-user requirements for assembly processes to create an integrated system for collaborative robotics in which a mobile manipulator acts as a “third hand” by delivering kits, tools, parts, and holding work pieces while the operator works on them. Humans will cognitively and physically interact with ColRobot robots using gestures, touch commands and demonstrations. The robot will be able to navigate autonomously in the factory floor to pick up the required parts and tools, and prepare kits for assembly. A safety system that pushes the limits of standardisation in collaborative robotics supervises the process. The project findings will be validated in 2 demonstrators in real operational environment at the end-users’ facilities, one in the automotive industry - Renault SAS -, and another in the aerospace industry - Thales Alenia Space France.
Publications
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
Sensor Placement Optimization using Random Sample Consensus for Best Views Estimation
Costa, CM;Veiga, G;Sousa, A;Thomas, U;Rocha, L;
2023
2023 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS, ICARSC
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
