Da Costa, L;
Lanillos, P;
Sajid, N;
Friston, K;
Khan, S;
(2022)
How Active Inference Could Help Revolutionise Robotics.
Entropy
, 24
(3)
, Article 361. 10.3390/e24030361.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | How Active Inference Could Help Revolutionise Robotics |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/e24030361 |
| Publisher version: | https://doi.org/10.3390/e24030361 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | free energy; model-based control; adaptive robots; generative model; Bayesian inference; filtering; neurotechnology |
| UCL classification: | UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10145156 |
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