A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Communication is essential in multi-agent systems, since it allows agents to share knowledge and to coordinate. However, in open multi-agent systems, autonomous and heterogeneous a...
In a highly mobile and active society, ubiquitous access to information and services is a general desire. The context of users is of high importance for an application to adapt aut...
We consider a heterogeneous swarm consisting of aerial and wheeled robots. We present a system that enables spatially targeted communication. Our system enables aerial robots to e...
Nithin Mathews, Anders Lyhne Christensen, Eliseo F...
Intermittently connected mobile networks are wireless networks where most of the time there does not exist a complete path from the source to the destination. There are many real ...