Most projects are carried out jointly with companies and other research entities at 糖果派对, 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.
Fast and Efficient Robotic Automation via Re-Use of Data (FERA)
糖果派对 is leading the FERA project, which has received over 14 million kroner from the Innovation Fund Denmark. Collaborating with partners such as Odense Robotics, Novo Nordisk, and Universal Robots aims to improve industrial automation solutions by using data from existing robotic solutions to create new ones, reducing costs and implementation time for new automation solutions.
Contact: Mikkel Baun Kjærgaard
The purpose of the project is to enable coordination and participation in Annex 79: “Occupant behaviour-centric building design and operation” which is a project under IEA’s program for “Energy in Buildings and Communities” (EBC).
Contact: Mikkel Baun Kjærgaard
Data-driven agent-based simulation for decision support
Contact: Sanja Lazarova-Molnar
In this project we 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.
Contact: Mikkel Baun Kjærgaard
DigitalLead is Denmark’s innovation cluster for digital technology. The aim of the project is to foster innovation activities among the knowledge partners together with private and public organisations.
Contact: Mikkel Baun Kjærgaard
DIREC is an international flagship centre for digital research with a mission to: conduct world-class research in new digital technologies, expand research and education capacity in Denmark and create value for Danish society and businesses.
Contact: Mikkel Baun Kjærgaard
In contrast to other fields in AI, the potential of exploiting large data collections is not realized in robotics yet. We aim to analyze the underlying scientific and technical challenges as well as associated legal and privacy issues.
Contact: Mikkel Baun Kjærgaard
Constructing cyber-physical systems with humans in the loop is important in many application areas to enable a close co-operation between humans and machines.
Contact: Mahyar Tourchi Moghaddam
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.
Contact: Mikkel Baun Kjærgaard
DIREC: Mobility Analytics using Sparse Mobility Data and Open Spatial Data
The mobility of people and things is an important societal process that facilitates and affects the lives of most people. Thus, society, including industry, has a substantial interest in well-functioning outdoor and indoor mobility infrastructures that are efficient, predictable, environmentally friendly, and safe.
Contact: Mahyar Tourchi Moghaddam
Danish national academy that supports data science talent development broadly, including machine learning, artificial intelligence and the internet of things.
Contact: Mikkel Baun Kjærgaard
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.
Contact: Mikkel Baun Kjærgaard
Facility Cobot
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.
Contact: Mikkel Baun Kjærgaard
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.
Contact 糖果派对 Co-PI: Sanja Lazarova-Molnar
Holistic Risk Assessment for Drones
Contact: Sanja Lazarova-Molnar
Industry 4.0 lab facilities for Experimenting with Robot-Building Integration
The overall objective of this effort is to enable the 糖果派对 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.
Contact: Mikkel Baun Kjærgaard
Smart Green
In this programme we will use novel Big Data analysis combined with practical demonstrations in SMEs securing a leap towards a greener, sustainable, and more energy efficient (by 10%) greenhouse production system.
Contact: Jan Corfixen Sørensen