Active Inference for Artificial Touch: A Biologically-Plausible Tactile Control Method

Pernilla Craig*, Laurence Aitchison, Nathan F. Lepora

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

1 Citation (Scopus)

Abstract

This work presents a proof of concept implementation of an active inference based control mechanism for tactile sensing systems. Active inference is a theory developed in neuroscience to model decision making in the human brain. Here, we use an active inference framework to successfully complete a localisation task using a biomimetic optical tactile sensor mounted on a robotic arm and tactile stimulus as the environment. The system demonstrated optimal control strategies for action selection and achieved a high degree of accuracy.

Original languageEnglish
Title of host publicationBiomimetic and Biohybrid Systems - 11th International Conference, Living Machines 2022, Proceedings
EditorsAlexander Hunt, Vasiliki Vouloutsi, Kenneth Moses, Roger Quinn, Anna Mura, Tony Prescott, Paul F. Verschure
PublisherSpringer Science and Business Media Deutschland GmbH
Pages169-181
Number of pages13
ISBN (Print)9783031204692
DOIs
Publication statusPublished - 2022
Event11th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2022 - Virtual, Online
Duration: 19 Jul 202222 Jul 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13548 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2022
CityVirtual, Online
Period19/07/2222/07/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Localisation
  • Perceptual inference
  • Tactile sensing

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