Dynamic belief state representations.

Abstract:

:Perceptual and control systems are tasked with the challenge of accurately and efficiently estimating the dynamic states of objects in the environment. To properly account for uncertainty, it is necessary to maintain a dynamical belief state representation rather than a single state vector. In this review, canonical algorithms for computing and updating belief states in robotic applications are delineated, and connections to biological systems are highlighted. A navigation example is used to illustrate the importance of properly accounting for correlations between belief state components, and to motivate the need for further investigations in psychophysics and neurobiology.

journal_name

Curr Opin Neurobiol

authors

Lee DD,Ortega PA,Stocker AA

doi

10.1016/j.conb.2014.01.018

subject

Has Abstract

pub_date

2014-04-01 00:00:00

pages

221-7

eissn

0959-4388

issn

1873-6882

pii

S0959-4388(14)00034-8

journal_volume

25

pub_type

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