This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
Our research goal is to design systems that enable humans to teach tedious, repetitive, simple tasks to a computer. We propose here a learner/problem solver architecture for such ...
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
Nowadays more and more devices of daily life are connected to each other and are integrated into massively distributed networks of embedded devices. These devices range from consu...
Christian Buckl, Stephan Sommer, Andreas Scholz, A...
This paper presents a distributed application named AERIAL which allows coordination and control of multiple Unmanned Aerial Vehicles (UAVs) engaged in temporally constrained miss...