Vision and Motivation
We keep our team motivated by defining ambitious goals for their research and apply all the achievements in real-world use cases.
Did you know that DIGI2 has current more than 10 active researchers and is hosted in the SYSTEC research unit @ FEUP?
From Academia to Industry, we are always seeking for new partnerships in National and European R&D projects. Some of them are Ford UK, Kuka, PSA Groupe and University of Nottingham.
Impulse the European Industry towards smart manufacturing systems
The Digital and Intelligent Industry Lab is part of the Research Center for Systems and Technologies (SYSTEC), Faculty of Engineering of the University of Porto (FEUP).
The Digital and Intelligent Industry Lab develops R&D activities:
- Cyber-Physical Production Systems and Industrial Internet of Things
- Distributed and Reconfigurable Control Systems
- Industrial Artificial Intelligence
- Advanced / Collaborative Robotics
The Digital and Intelligent Industry Lab mission is the scientific and technical research, development, advanced education and training, dissemination and sustainable technology transfer.
RECLAIM will create a novel Decision Support Framework to assess the health status of machinery and propose methods, tools, or services for the appropriate lifetime extension strategy. RECLAIM solutions aim to extend machinery lifetime while also improving productivity and performance. The project will focus on harnessing digital analytics, the Internet of Things (IoT), and circular economy strategies to improve predictive maintenance and upgrade legacy machines responsibly and effectively.
DEZMPP project aims to investigate and develop an advanced production platform which is modular, flexible and versatile focusing on the assembly and testing of a vast spectrum of components, contemplating a new manufacturing paradigm towards digital transformation of processes and factories of the future. The proposed solution is guided to the integrated management and monitoring, taking advantage on techniques and advanced algorithms for data analytics, Big Data, Artificial Intelligence, Machine Learning and Industrial Digitalization.Details →
The project foresees the development of innovative production technologies, in response to the manufacturing industry's urgency of proceeding with the digital and green transition that will enable its sustainability, competitiveness and resiliency. As such, it will support production technologies companies to assume a key position in a evermore important global niche: innovative production technology solutions that enable industrial circularity and sustainability.Details →
The umbrella PRODUTECH SIF incorporates a research and innovation agenda, for production technologies, cyber-physical systems and industry transformation. It embodies the combined efforts from actors of the industrial fabric and research and innovation system, gathering a critical mass for the effective development and deployment of advanced knowledge and technologies, which will be transferred and assimilated by industrial companies, and deployed in innovative products and services (production technologies), embedding advanced solutions.Details →
Warehouse of the Future is an R&D project focusing on the development of new technological approaches, fostering the synergies between the scientific areas of artificial vision and collaborative robotics with 5G technology, as a way to allow the execution and replication of auto guided moving solutions, such as pick and place of components in the shop-floor / warehouse.Details →
The “Cibertoque” project aims to research and develop a modular and intelligent solution that allows for the automation of nowadays robotic systems often used in the automotive industry as way of performing and executing the task still dependent on the human “touch” and “feel”. Thus, the proposed solution is based on the premise of creating a virtual entity that will allow the replicate such “touch” and “feel” once it is connected to a robotic system, such as a robotic arm or a similar system.Details →
This project envisages the development of a new IIoT / IoRT (Industrial Internet of Things/Internet of Robotic Things) flexible ecosystem applicable to the visual inspection and quality control of complex production lines in the automotive industry, together with the monitoring of energy and environmental conditions for the treatment of gases and wasterwater. There will be investigated and developed collaborative robotic systems (with the integration of robotic arms and controllers), along with the artificial vision system, all integrated in the IIoT / IoRT ecosystem.Details →
SMARTCUT is R&D project for the development of a remote maintenance, diagnostic and simulation solution, based in the Digital Twin concept, for smart forestry machines. The Digital Twin technology will feed the simulation with real operation data, to create realistic training conditions for future operators. In the real machine, the Digital Twin will allow for continuous updates, generation of KPI's, diagnostic assistance and predictive maintenance.Details →
The “Continental FoF” R&D Project aims to contribute to the advanced of the industry and the technical-scientific community (at national and international level) and enable the total detachment of the factory-floor and the creation of a new advanced and intelligent manufacturing process, in terms of (i) flexibility, modularity and capability of mass customization, (ii) highly efficient digital connectivity throughout the all the facilities’ environment, (iii) dynamic data performance in real-time collection, reading, treatment and interpretation of data, (iv) autonomous and intelligent decision making process, based on artificial intelligence algorithms, (v) Human-Machine symbiosis, (vi) Human-Factory symbiosis and (vii) equally dynamic and interactive logistic processes that assures a full and efficient quality control process at all times.Details →
FERROVIA 4.0 intends to develop different components, tools and systems to be tested in operational infrastructures, which are driven by economic and ecological sustainability of Portuguese railway system towards cost reduction of operational and maintenance actions. DIGI2 is responsible for the development of a augmented reality system for maintenance operations, as well as several IoT related activities.Details →
Research Areas: Cyber-Physical Systems, Distributed Control Systems, Systems of Systems.
Research Areas: Artificial Intelligence, Zero-shot Learning, Digitalization
Research Areas: Artificial Immune Systems, Cyber-Physical Systems, Edge Computing
Research Areas: Embedded and Distributed Systems, Reconfigurable Systems, Real-time systems
Research Areas: Distributed Control Systems, Digitalization, Sensor Network
Research Areas: Collaborative Robotics, Reinforcement Learning, Automation
Research Areas: Cyber-Physical Systems, Machine Learning, Data Analytics
Research Areas: Research areas: Industrial robotics, Real-time communications, Bandwidth Reservation Strategies Distributed Systems
Research Areas: Artificial Intelligence, Zero-shot Learning, Transfer Learning
Research Areas: Artificial Intelligence, Production Systems, Digitalization
Research Areas: Learning Factories, Meaningful Learning Environments, Education 4.0
Research Areas: Cyber-Physical Systems, Mobile Robotics and Manipulation, Embedded Systems
Research Areas: Innovation Management, Entrepreneurship, Education 4.0
Throughout the years a large networks of professional and research partnership has been made which mirrors all the excellence progress and achievements of DIGI2