INESC TEC
INESC TEC
INESC TEC
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Produtech_R3

INESC TEC

About the Project

Agenda Mobilizadora da Fileira das Tecnologias de Produção para a Reindustrialização

Development of new methodologies, strategies, tools and approaches that will converge in new products, services and innovative systems (production technologies), aligned with the challenges of the circular economy and based on ensuring sustainability, ensuring significant levels of impact, from the start, in this sector and in the most diverse industrial sectors. It incorporates a coherent set of interventions, aimed at the development of products-systems-services, ecosystems of tools and applications, methodologies and strategies, supported by new digitization paradigms, aiming at: Capacity building for the development of new sustainable products (production systems and components). Advanced integration and management of sustainable production systems, zero defects - zero impacts environmental Symbiotic management of production ecosystems and supply chains in a circular context And the implementation of circular and sustainable approaches in manufacturing industry. It results from the action program of the PRODUTECH cluster and from the clustering movement at FTP, comprising core developments of the strategic axis “Mobilization for frontier R&D+I”.
Acronym

Produtech_R3

Responsible

Luís Guardão

Status

active

Starting Date

January 1, 2022

Ending Date

January 30, 2026

Effective End Date

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Global Budget

€167,298,999.54

Funding

€4,321,548.00

Website

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Associated Centres

Artificial Intelligence and Decision Support

Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.

Artificial Intelligence and Decision Support

Telecommunications and Multimedia

The Centre for Telecommunications and Multimedia (CTM) welcomes close to 200 members, including at least 100 integrated researchers who carry out scientific work in the fields of communications, Artificial Intelligence, and computer science and engineering. The Centre’s activities cover several Research and Development (R&D) domains: Communications and Electronics Radio Frequency Technologies Optoelectronics Microelectronics Wireless Communication Networks Computer Perception Computer Vision applied to Medical Imaging Computer Vision applied to Digital Media Computer Audio applied to Music With multidisciplinary teams that include dozens of PhDs, CTM is strongly committed to both European and national research projects, as well as consultancy projects with industry.

Telecommunications and Multimedia

Industrial & Systems Engineering and Management

Industrial & Systems Engineering and Management

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