A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot
(2023) The 32nd International Conference on Artificial Neural Networks (ICANN 2023) In Lecture Notes in Computer Science 14254. p.432-443- Abstract
- Perception is not a passive process but the result of an interaction between an organism and the environment. This is especially clear in haptic perception that depends entirely on tactile exploration of an object. We investigate this idea in a system-level brain model of somatosensory and motor cortex and show how it can use signals from a humanoid robot to categorize different object. The model suggests a number of critical properties that the sensorimotor system must have to support this form of enactive perception. Furthermore, we show that motor feedback during controlled movements is sufficient for haptic object categorization.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/0b72809b-2093-43d1-a6b4-2a18751387b7
- author
- Ingvarsdóttir, Kristín Ósk LU ; Johansson, Birger LU ; Tjøstheim, Trond A. LU and Balkenius, Christian LU
- organization
- publishing date
- 2023-09-22
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- humanoid robot, Object categorization, haptic perception, Affordances, Enactive perception
- host publication
- Artificial Neural Networks and Machine Learning – ICANN 2023
- series title
- Lecture Notes in Computer Science
- volume
- 14254
- pages
- 11 pages
- publisher
- Springer
- conference name
- The 32nd International Conference on Artificial Neural Networks (ICANN 2023)
- conference dates
- 2023-09-26 - 2023-09-29
- external identifiers
-
- scopus:85174611782
- ISSN
- 1611-3349
- 0302-9743
- ISBN
- 978-3-031-44206-3
- 978-3-031-44207-0
- DOI
- 10.1007/978-3-031-44207-0_36
- language
- English
- LU publication?
- yes
- id
- 0b72809b-2093-43d1-a6b4-2a18751387b7
- date added to LUP
- 2023-09-24 12:04:06
- date last changed
- 2024-04-24 19:25:22
@inproceedings{0b72809b-2093-43d1-a6b4-2a18751387b7, abstract = {{Perception is not a passive process but the result of an interaction between an organism and the environment. This is especially clear in haptic perception that depends entirely on tactile exploration of an object. We investigate this idea in a system-level brain model of somatosensory and motor cortex and show how it can use signals from a humanoid robot to categorize different object. The model suggests a number of critical properties that the sensorimotor system must have to support this form of enactive perception. Furthermore, we show that motor feedback during controlled movements is sufficient for haptic object categorization.}}, author = {{Ingvarsdóttir, Kristín Ósk and Johansson, Birger and Tjøstheim, Trond A. and Balkenius, Christian}}, booktitle = {{Artificial Neural Networks and Machine Learning – ICANN 2023}}, isbn = {{978-3-031-44206-3}}, issn = {{1611-3349}}, keywords = {{humanoid robot; Object categorization; haptic perception; Affordances; Enactive perception}}, language = {{eng}}, month = {{09}}, pages = {{432--443}}, publisher = {{Springer}}, series = {{Lecture Notes in Computer Science}}, title = {{A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot}}, url = {{http://dx.doi.org/10.1007/978-3-031-44207-0_36}}, doi = {{10.1007/978-3-031-44207-0_36}}, volume = {{14254}}, year = {{2023}}, }