Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
The amount of data to be represented by visualization systems requires new ideas for data processing and representation. As proposed in this contribution, this might be solved by ...
In this paper we describe Racer, which can be considered as a core inference engine for the semantic web. The Racer inference server offers two APIs that are already used by at le...
In this paper, we dLscuss the approach we take to the interpretation of instructions. Instructions describe actions related to each other and to other goals the agent may have; ou...
Logic programs under the stable models semantics, or answer-set programs, provide an expressive rule based knowledge representation framework, featuring formal, declarative and wel...