A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot

Kristín Ósk Ingvarsdóttir; Birger Johansson; Trond A. Tjøstheim; Christian Balkenius

doi:10.1007/978-3-031-44207-0_36

A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot

Kristín Ósk Ingvarsdóttir, Birger Johansson, Trond A. Tjøstheim, Christian Balkenius

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

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.

Originalspråk	engelska
Titel på värdpublikation	Artificial Neural Networks and Machine Learning – ICANN 2023
Förlag	Springer
Sidor	432-443
Antal sidor	11
ISBN (elektroniskt)	978-3-031-44207-0
ISBN (tryckt)	978-3-031-44206-3
DOI	https://doi.org/10.1007/978-3-031-44207-0_36
Status	Published - 2023 sep. 22
Evenemang	The 32nd International Conference on Artificial Neural Networks (ICANN 2023) - Heraklion, Grekland Varaktighet: 2023 sep. 26 → 2023 sep. 29 https://e-nns.org/icann2023/

Publikationsserier

Namn	Lecture Notes in Computer Science
Förlag	Springer
Volym	14254
ISSN (tryckt)	0302-9743
ISSN (elektroniskt)	1611-3349

Konferens

Konferens	The 32nd International Conference on Artificial Neural Networks (ICANN 2023)
Förkortad titel	ICANN 2023
Period	2023/09/26 → 2023/09/29
Internetadress	https://e-nns.org/icann2023/

Ämnesklassifikation (UKÄ)

Robotteknik och automation

Tillgång till dokument

10.1007/978-3-031-44207-0_36

Lund University Cognitive Robotics Lab
Johansson, B. (Manager) & Balkenius, C. (Manager)
Kognitionsvetenskap
Infrastruktur

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title = "A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot",

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.",

keywords = "humanoid robot, Object categorization, haptic perception, Affordances, Enactive perception",

author = "Ingvarsd{\'o}ttir, {Krist{\'i}n {\'O}sk} and Birger Johansson and Tj{\o}stheim, {Trond A.} and Christian Balkenius",

year = "2023",

month = sep,

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booktitle = "Artificial Neural Networks and Machine Learning – ICANN 2023",

address = "Germany",

note = "The 32nd International Conference on Artificial Neural Networks (ICANN 2023) ; Conference date: 26-09-2023 Through 29-09-2023",

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Ingvarsdóttir, KÓ, Johansson, B , Tjøstheim, TA & Balkenius, C 2023, A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot. i Artificial Neural Networks and Machine Learning – ICANN 2023. Lecture Notes in Computer Science, vol. 14254, Springer, s. 432-443, The 32nd International Conference on Artificial Neural Networks (ICANN 2023), 2023/09/26. https://doi.org/10.1007/978-3-031-44207-0_36

A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot. / Ingvarsdóttir, Kristín Ósk; Johansson, Birger ; Tjøstheim, Trond A. et al.
Artificial Neural Networks and Machine Learning – ICANN 2023. Springer, 2023. s. 432-443 (Lecture Notes in Computer Science; Vol. 14254).

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot

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AU - Johansson, Birger

AU - Tjøstheim, Trond A.

AU - Balkenius, Christian

PY - 2023/9/22

Y1 - 2023/9/22

N2 - 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.

AB - 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.

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KW - Object categorization

KW - haptic perception

KW - Affordances

KW - Enactive perception

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DO - 10.1007/978-3-031-44207-0_36

M3 - Paper in conference proceeding

SN - 978-3-031-44206-3

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BT - Artificial Neural Networks and Machine Learning – ICANN 2023

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ER -

A System-Level Brain Model for Enactive Haptic Perception in a Humanoid Robot

Sammanfattning

Publikationsserier

Konferens

Ämnesklassifikation (UKÄ)

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Utrustning

Lund University Cognitive Robotics Lab

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