Probabilistic Complex Actions in GOLOG

Issue title: The 1st International Workshop on Knowledge Representation and Approximate Reasoning (KR&AR)

Article type: Research Article

Authors: Grosskreutz, Henrik | Lakemeyer, Gerhard

Affiliations: Department of Computer Science V, RWTH Aachen, 52056 Aachen, Germany

Abstract: Uncertainty seems to be inherent in most robotic applications. This is because a robot's sensors and actuators are in general imprecise and prone to error. The logic-based action language GOLOG was introduced for the purpose of high-level robot control, but its usefulness was limited because it did not address uncertainty. bIn this paper we show how this deficiency can be overcome.

Keywords: knowledge representation, uncertainty, cognitive robotics

Journal: Fundamenta Informaticae, vol. 57, no. 2-4, pp. 167-192, 2003