We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
In order to enable intuitive physical interaction with autonomous robots as well as in collaborative multi-user virtual reality and teleoperation systems a deep understanding of h...
We describe how a physical robot can learn about objects from its own autonomous experience in the continuous world. The robot identifies statistical regularities that allow it t...
We propose a novel approach for granting partial access on arbitrary objects at the granularity of methods to remote clients. The applications that we target use Remote Method Invo...
Production of a large-scale software system involves quite a few software components. It is very common to develop such software components in a distributed environment consisting...