Computational Intelligence
Generating “mental maps” from route descriptions
Representation and processing of spatial expressions
Language and Learning for Robots
Language and Learning for Robots
Geometric structures of frames of reference and natural language semantics
Spatial Cognition and Computation
Agent Communication Languages: The Current Landscape
IEEE Intelligent Systems
The House Is North of the River: Relative Localization of Extended Objects
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
An Axiomatic Approach to the Spatial Relations Underlying Left-Right and in Front of-Behind
KI '97 Proceedings of the 21st Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Control of a navigating rational agent by natural language
Control of a navigating rational agent by natural language
A Graded Approach to Directions between Extended Objects
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
Towards a systematic understanding of graphical cues in communication through statistical graphs
Journal of Visual Languages and Computing
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We present the model of a Geometric Agent that can navigate on routes in a virtual planar environment according to natural-language instructions presented in advance. The Geometric Agent provides a new method to study the interaction between the spatial information given in route instructions and the spatial information gained from perception. Perception and action of the Geometric Agent are simulated. Therefore, the influence of differences in both linguistic and perceptual skills can be subject to further studies employing the Geometric Agent. The goal of this investigation is to build a formal framework that can demonstrate the performance of specific theories of the interpretation of natural-language in the presence of sensing. In this article, we describe the main sub-tasks of instructed navigation and the internal representations the Geometric Agent builds up in order to carry them out.