Germano Veiga

Germano Veiga is a Mechanical Engineer with a PhD in Mechanical Engineering (Robotics and Automation) (2010) by the University of Coimbra. In 2005 he was an invited researcher at the University of Lund, Sweden, and was a researcher (2002-2011) and Invited Professor (2007-2011) at the University of Coimbra.He is now Senior Researcher at INESC TEC, in Porto, and from 2016 is Auxiliar Professor at the Faculty of Engineering of the University of Porto.His research interests are mostly focused on future industrial robotics including, plug-and-produce technologies, robot programming, mobile manipulators and Human Robot Interfacing. During his PhD studies Germano was part of the FP6 SMErobot team (2005-2009) and later became member of the Exec. Committee of the FP7 ECHORD project (2009-2012)More recently Germano became the coordinator of the INESC-TEC team participating in the projects FP7-CARLoS, FP7-STAMINA, FP7-SMErobotics, H2020-ColRobot.Since January 2017 he is the Coordinator of the H2020 ScalABLE4.0 project.

Domains

Robotics in Industry and Intelligent Systems Artificial Intelligence Bioengineering Robotics Systems Engineering and Management

Projects

iMAN

Project datasheet (PT)

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.

Flexible and Autonomous Manufacturing Systems for Custom-Designed Products

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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

Plug-and-produce technologies - On the use of statecharts for the orchestration of service oriented industrial robotic cells

Veiga, G;Pires, JN;

2008

ICINCO 2008: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL RA-2: ROBOTICS AND AUTOMATION, VOL 2

Programming-by-demonstration in the coworker scenario for SMEs

Pires, JN;Veiga, G;Araujo, R;

2009

INDUSTRIAL ROBOT-AN INTERNATIONAL JOURNAL

In vitro method for test and measure the accuracy of implant impression

Caramelo, FJ;Brito, P;Santos, J;Carvalho, A;Veiga, G;Vasconcelos, B;Pires, JN;Botelho, MF;

2011

TECHNOLOGY AND MEDICAL SCIENCES - TMSI 2010

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Supervised theses

Comparison of full-adder cell layouts for 90nm CMOS technology

Ana Ferreira Araújo

M - 2024

UP-FEUP

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.