Spatial learning with perceptually grounded representations

✍ Scribed by Christian Balkenius

• Book ID: 104357357
• Publisher: Elsevier Science
• Year: 1998
• Tongue: English
• Weight: 852 KB
• Volume: 25
• Category: Article
• ISSN: 0921-8890
• DOI: 10.1016/s0921-8890(98)00046-3

✦ Synopsis

The goal of this paper is to develop the foundation for a spatial navigation without objective representations. Rather than building the spatial representations on a Euclidean space, a weaker conception of space is used. A type of spatial representation is described that uses perceptual information directly to define the regions in space. By combining such regions, it is possible to derive a number of useful spatial representations such as place-fields, paths and topological maps. Compared to other methods, the representaLtions of the present approach have the advantage that they are always grounded in the perceptual abilities of the robot.