Case Studies Print


The application domain, represented by three major case studies, namely swarm robotics, science cloud and e-mobility, played a central role in the ASCENS project. They provide a source of motivation for the ASCENS technology and a treasury of trial examples upon which ASCENS solutions could be tested in practice.

Case studies also served as a gravity for joint work and provided constant interaction between theory and practice made the ASCENS highly theoretical approach uni ed, pragmatic and well suited for a range of the application domains, far beyond the speci fic areas of the ASCENS case studies.




Swarm robotics application domain deals with creation of multi-robot systems that through interaction and coordination among participating simple robots and their environment can accomplish a common goal, which would be impossible to achieve by a single robot. The basic idea behind the application scenario is to organize and control a rescue operation in an emergency situation.

Cloud computing is an approach that provides computing resources to users in a service-based manner, over the internet. By sharing computing resources by many users, signi ficant throughput can be achieved leading to energy and costs savings. This kind of computing calls for novel techniques that would allow for highly dynamic and secure construction of virtual resources that would maintain the throughput and efficiency high, while reducing the number of computer used.

E-mobility is a vision of future transportation by means of electric vehicles network allowing people to fulfill their individual mobility needs in an environmental friendly manner (decreasing polution, saving energy, sharing vehicles, etc). Due to limited battery capacity, e-vehicles cannot simply pass long distances, as it is the case with traditional vehicles (and re-fi lling energy lasts much longer). The ultimate goal of e-mobility is to overcome that problem by off ering a range of supporting activities that would allow energy-aware passengers to master distances in required time.




Last Updated on Thursday, 12 March 2015 19:58