Affiliated Research Groups

Automation & Robotics Research Group

Mobile robots such as service robots, highly automated cars or drones are expected to become a huge market in the coming years. In contrast to the stationary and automatic robot arms, mobile service robots and drones will need to move in unstructured and unknown environments, perform complex tasks with a higher degree of autonomy and also to closely interact with human users.

Our mission and passion is to contribute to the creation of such autonomous vehicles and mobile robots. We are interested in novel perception and control approaches that enable robots to efficiently act on the ground, in the air and in space. We investigate approaches for intelligent control and how adaptation and learning can be applied in the context of perception and control. We are fascinated by robots that socially interact with humans and by robots that cooperate in teams. Finally, we also strive for novel methods to support the systems and software engineering of autonomous vehicles and robots.

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SEDAN Research Group

The newly established SEDAN (SErvices and Data mANagement) research group, headed by Dr. habil. Radu State addresses impact oriented research activities in the areas of security, service management and monitoring. More specifically the group is interested on designing architectures, algorithms and approaches in the context of the new challenges given by ever increasing volumes of data, multiple and permanent connectivity and new distributed consensus systems based on blockchain paradigms. For this purpose we address scalable virtualization mechanism based on unikernels, programmable dataplanes and data analytics as key enabling building stones for our research activity.

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MobiLab Transport Research Group

The underlying research mission of the MobiLab team is to gain an understanding of how complex transportation networks behave and in turn can be managed/optimised. This involves:

(1) Studying human behaviour, which affect traffic and transport at the operational (driving behaviour and its impact on efficiency, comfort and safety), at the tactical (choices like which mode, at what time to travel, which route, etc.) and strategic levels involving long-term decisions (residence, car ownership, etc.);

(2) Modelling transport and mobility patterns as a complex multi-layered, multi-modal and multi-objective network design problem using advanced dynamic models that consider activity-travel choices, traffic propagation dynamics, as well as innovative Intelligent Transport Systems for dynamic monitoring and management.

(3) Optimising the supply system, i.e. how can transportation services be optimised to handle the demand considering the inherent dynamics occurring at both daily and weekly time periods due to variable mobility patterns of the transportation users.

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