The size of the Danish Embedded & Cyber-Physical Systems industry is difficult to measure as CPS constitute an inherent part of a wide variety of high-tech products and services. In 2017 Danish companies in the ICT industry produced a turnover of 33 B€, an export of 11.5 B€ and an all-time record of close to 100,000 employed in Denmark. Many of the classical industrial companies are increasingly creating added value by making their products smart and interconnected using CPS/IoT technologies or even fully digital.
The objectives are:
The design and development of Cyber-Physical Systems and Internet of Things complement and integrate methodologies from the other thematic areas. In particular, the design of highly robust and secure systems depends on methods from Software Engineering and Verification and Cyber Security and Blockchain. Artificial Intelligence is an important method for processing sensor data and planning actuation actions.
The design of successful human components also links to the area of Human Computer Interaction, CSCW and InfoVis. A strong emerging trend for CPS is the close interaction with biological systems, not only for healthcare, but also as a novel digital technology, programming life through engineered logic gene circuits. Finally, systems have to be designed considering Ethics and considerations for Business Innovation, Processes and Models.
Downtime of equipment is costly and a source of safety, security and legal issues. Today, organisations adopt a conservative schedule of preventive maintenance independent of the condition of equipment. This results in unnecessary service costs and occasional interruptions of production due to unexpected failures.
Both society and industry have a substantial interest in well-functioning outdoor and indoor mobility infrastructures that are efficient, predictable, environmentally friendly, and safe. For outdoor mobility, reduction of congestion is high on the political agenda as is the reduction of CO2 emissions, as the transportation sector is the second largest in terms of greenhouse gas emissions. For indoor mobility, corridors and elevators represent bottlenecks for mobility in large building complexes.
Together with industrial partners, this project will investigate production scenarios where a machine can be operated by untrained personnel by using low-code development for adaptive and re-configurable robot programming of logistic tasks.
Today, manual visual inspection of grain is still one of the most important quality assurance procedures throughout the value chain of bringing cereals from the field to the table. Together with FOSS, this project aims to develop and validate a method of automated imaging-based solutions that can replace subjective manual inspection and improve performance, robustness and consistency of the inspection.
Embedded AI will revert the current AI processing flow from collecting data at the edge and processing it at the cloud, to a flow where AI algorithms are migrated from the cloud to a distributed network of AI enabled edge-devices, which will increase responsiveness and functionality, reduced data transfer, and increased resilience, security, and privacy.
Associate Professor
Technical University of Denmark
DTU Compute
E: xefa@dtu.dk
T: +45 45 25 52 78
Professor
Aalborg University
Department of Computer Science
Professor
IT University of Copenhagen
Department of Computer Science
Professor
University of Southern Denmark
The Maersk Mc-Kinney Moller Institute
Professor
University of Southern Denmark
The Maersk Mc-Kinney Moller Institute
Professor
Copenhagen Business School
Department of Digitalization
Professor
Technical University of Denmark
Department of Applied Mathematics and Computer Science
Associate Professor
Technical University of Denmark
DTU Compute
Professor
Technical University of Denmark
DTU Compute
