Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
We propose an accurate collision detection algorithm for use in virtual reality applications. The algorithm works for three-dimensional graphical environments where multiple objec...
Yoshifumi Kitamura, Andrew Smith, Haruo Takemura, ...
— Partially Observable Markov Decision Processes (POMDPs) offer a powerful mathematical framework for making optimal action choices in noisy and/or uncertain environments, in par...
Higher level semantics are considered useful in the geospatial domain, yet there is no general consensus on the form these semantics should take. Indeed, knowledge representation p...
Ontologies are consensual representations of a domain of discourse and the backbone of the future Semantic Web. Currently, however, only a fraction of Web users can take part in t...
Martin Hepp, Daniel Bachlechner, Katharina Siorpae...