Abstract
Recent research study has proposed a computational theory of perceptual mapping that shows how a useful inexact global perceptual map is computed without correcting sensor errors. An unexpected consequence of the theory is that the map computed is never closed, expanding ad infinitum. This creates an interesting transient perceptual map but then an important question arises: how does one compute an enduring map from it? In this paper, we address this question by showing how Albot1 computes a topological-metric map from its perceptual map. Importantly, we show that the map computed is not based upon partitioning the physical environment into places of a fixed size and that these places, when combined using a single frame of reference, do not produce a precise global map. We show how such a map is used during navigation to provide expectations, say, to where exits in a current place can be found.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.