We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
In this paper, we present a framework for a robotic system with the ability to perform real-world manipulation tasks. The complexity of such tasks determines the precision and fre...
Danica Kragic, Lars Petersson, Henrik I. Christens...
—We present an application of machine learning to the semi-automatic synthesis of robust servo-trackers for underwater robotics. In particular, we investigate an approach based o...
Image based rendering (IBR) consists of several steps: (i) Calibration (or ego-motion computation) of all input images. (ii) Determination of regions in the input images used to s...
Potential applications of online virtual worlds are attracting the interest of many researchers around the world. One and perhaps the most famous example of such systems is Linden ...
Maurizio de Pascale, Sara Mulatto, Domenico Pratti...