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Research Projects

Most projects are carried out jointly with companies and other research entities at SDU, and are externally funded, supporting industrial collaboration and societal relevance. We support our employees in building their academic careers, and we happily assist those who wish to transition from academia to industry or vice versa. 

SDU Software Engineering is or has been involved in the following research projects:

Research projects

Facility Cobot, a Grand Solutions project funded with 17.6 million DKK including 12 million DKK from the Innovation Fund. With six comitted partnes, the project will run over three years and has set out to create robots with sensor technology and artificial intelligence, helping the cleaning staff in cafeterias and airports. Addressing the need for new technologies that can improve the efficiency and ergonomics of cleaning. Read more about the Facility Cobot here.

The purpose of the project is to enable coordination and participation of a project under the international energy agency (IEA), named Annex 79: “Occupant behaviour-centric building design and operation” which is a project under IEA’s program for “Energy in Buildings and Communities” (EBC).
The Data-Driven Energy Experts project will develop a new energy technology to lower the barrier for experts to use Internet of Things sensor data to take actions to improve energy-efficiency in the building sector.
The project investigates and demonstrates how office environments can be efficiently utilized, thereby reducing energy consumption while simultaneously increasing user satisfaction and improving the experienced indoor climate. The indoor climate and workstations are visualized to the users by leveraging loT solutions like motion sensors and monitoring CO2 concentration and temperature.
The project partners expect that many companies in Denmark will implement collaborative robots over the next ten years. The electricity consumption of a single robot does not have a high impact on a company’s energy accounting, however, on a national level many new robots will mean a lot. The project will enable more energy efficient robots based on a new method for programming robots via Augmented Reality. It is estimated that programming robots with more energy efficient movements potentially can save the electricity consumption equaling more than hundreds of thousands of Danes each year.

Farming livestock – cattle, sheep, goats, pigs and chickens – contributes around 6 billion tonnes of greenhouse gases (carbon dioxide, methane and nitrous oxide) to the atmosphere each year, which could represent up to 18% of global emissions. With the advent of Precision Farming which uses new technologies to handle and manage farm information, economic returns can be improved and environmental impact can be reduced. As such, precision feeding is about getting the right nutrient to the right animal at the right time, which can increase feed efficiency and productivity and consequently improve farm profitability and lower emission intensity.

The project proposes the integrated use of wireless sensor networks, data analytics and modelling that enable an efficient decision support system together with a state-of-the-art cloud solution supporting blockchain for livestock agriculture. By minutely tracing the livestock feed and GHG emission, the FarmSustainaBl project will contribute to raising consumer awareness on the importance of low-GHG emission livestock produce as well as be able to optimize the and lower the GHG emission in animal production systems.

 

SDU Co-PI: Sanja Lazarova-Molnar
Read more about the project here

The overall objective of this effort is to enable the SDU I4.0 lab as an experimental facility to study robots in terms of the spatial building context and how to integrate them in a successful manner.
The purpose of the project IoTStyring is through Internet of Things (IoT) and digitalisation technologies to develop and test an innovative concept for energy efficient control of floor heating, ventilation, and lighting all in one.

Last Updated 28.01.2021