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 language | English |
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Title of host publication | Biomimetic and Biohybrid Systems - 11th International Conference, Living Machines 2022, Proceedings |
Editors | Alexander Hunt, Vasiliki Vouloutsi, Kenneth Moses, Roger Quinn, Anna Mura, Tony Prescott, Paul F. Verschure |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 169-181 |
Number of pages | 13 |
ISBN (Print) | 9783031204692 |
DOIs | |
Publication status | Published - 2022 |
Event | 11th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2022 - Virtual, Online Duration: 19 Jul 2022 → 22 Jul 2022 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13548 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 11th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2022 |
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City | Virtual, Online |
Period | 19/07/22 → 22/07/22 |
Bibliographical note
Publisher Copyright:© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Localisation
- Perceptual inference
- Tactile sensing