How Active Inference Could Help Revolutionise Robotics.
Bayesian inference
adaptive robots
filtering
free energy
generative model
model-based control
neurotechnology
Journal
Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874
Informations de publication
Date de publication:
02 Mar 2022
02 Mar 2022
Historique:
received:
21
01
2022
revised:
24
02
2022
accepted:
28
02
2022
entrez:
25
3
2022
pubmed:
26
3
2022
medline:
26
3
2022
Statut:
epublish
Résumé
Recent advances in neuroscience have characterised brain function using mathematical formalisms and first principles that may be usefully applied elsewhere. In this paper, we explain how active inference-a well-known description of sentient behaviour from neuroscience-can be exploited in robotics. In short, active inference leverages the processes thought to underwrite human behaviour to build effective autonomous systems. These systems show state-of-the-art performance in several robotics settings; we highlight these and explain how this framework may be used to advance robotics.
Identifiants
pubmed: 35327872
pii: e24030361
doi: 10.3390/e24030361
pmc: PMC8946999
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Medical Research Council
ID : MR/S502522/1
Pays : United Kingdom
Organisme : Engineering and Physical Sciences Research Council
ID : EP/S023925/1
Organisme : Wellcome Trust
ID : 205103/Z/16/Z
Pays : United Kingdom
Organisme : Fonds National de la Recherche
ID : 13568875
Organisme : Canada-UK Artificial Intelligence Initiative
ID : ES/T01279X/1
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