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Spatial reasoning via active observation

journal contribution
posted on 1995-09-01, 00:00 authored by Svetha VenkateshSvetha Venkatesh, D Kieronska, S Smith
This paper presents a model for space in which an autonomous agent acquires information about its environment. The agent uses a predefined exploration strategy to build a map allowing it to navigate and deduce relationships between points in space. The shapes of objects in the environment are represented qualitatively. This shape information is deduced from the agent's motion. Normally, in a qualitative model, directional information degrades under transitive deduction. By reasoning about the shape of the environment, the agent can match visual events to points on the objects. This strengthens the model by allowing further relationships to be deduced. In particular, points that are separated by long distances, or complex surfaces, can be related by line-of-sight. These relationships are deduced without incorporating any metric information into the model. Examples are given to demonstrate the use of the model.

History

Journal

Applied artificial intelligence

Volume

9

Issue

5

Pagination

495 - 524

Publisher

Taylor & Francis

Location

Philadelphia, Pa.

ISSN

0883-9514

eISSN

1087-6545

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

1995, Taylor & Francis