Probabilistic Representation and Its Application of Digital-Twin of Spatio-Temporal Real-World Toward Trustable Cyber-Physical Interactions

Shimonishi, Hideyuki; Kominami, Daichi; Ohsita, Yuichi; Yoshida, Hiroshi; Nogami, Kousuke; Kanetomo, Dai; Murata, Masayuki

doi:https://doi.org/10.1109/MNET.2024.3439514

Probabilistic Representation and Its Application of Digital-Twin of Spatio-Temporal Real-World Toward Trustable Cyber-Physical Interactions

Shimonishi, Hideyuki; Kominami, Daichi; Ohsita, Yuichi et al.

IEEE Network, 2024, 38(6), 130-137

Number of Access:881（2025-12-08 00:32 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/100700

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Title	Probabilistic Representation and Its Application of Digital-Twin of Spatio-Temporal Real-World Toward Trustable Cyber-Physical Interactions
Creator	NRID 1000020532071 1000020532071 ORCID 0009-0004-4364-5877 0009-0004-4364-5877 researchmap permalink h-shimonishi h-shimonishi Scopus Author ID 6603513460 6603513460 CreatorName Shimonishi, Hideyuki
	NRID 1000000709678 1000000709678 researchmap permalink d-kominami d-kominami Scopus Author ID 35203508000 35203508000 ORCID 0000-0001-6780-0641 0000-0001-6780-0641 CreatorName Kominami, Daichi
	NRID 1000080432425 1000080432425 ORCID 0000-0001-9784-627X 0000-0001-9784-627X researchmap permalink read0210112 read0210112 Scopus Author ID 8216144600 8216144600 CreatorName Ohsita, Yuichi
	CreatorName Yoshida, Hiroshi
	CreatorName Nogami, Kousuke
	CreatorName Kanetomo, Dai
	NRID 1000080200301 1000080200301 ORCID 0000-0002-4168-2875 0000-0002-4168-2875 researchmap permalink Masayuki-Murata Masayuki-Murata Scopus Author ID 55710952700 55710952700 CreatorName Murata, Masayuki
Subject	Cyber-Physical System
	Digital Twin
	Probabilistic representation
Description	Shimonishi H., Kominami D., Ohsita Y., et al. Probabilistic Representation and Its Application of Digital-Twin of Spatio-Temporal Real-World Toward Trustable Cyber-Physical Interactions. IEEE Network 38, 130 (2024); https://doi.org/10.1109/MNET.2024.3439514.
Abstract	The digital twin is a high-precision, real-time representation of the real world. It has evolved from a digital copy of physical objects, such as jet engines, robots, or any machine, to a broader concept to represent a space, room, building, and city, where many objects and humans interact to engage in productive activities. The digital twin has been attracting attention as an important component of cyber-physical systems in many real-world use cases where safety and trustability are critical. In this article, we argue that risk management is dramatically improved through probabilistic representation of the real world whose true status is only inferred with certain uncertainties. We introduce an evolution of the digital twin and then present a probabilistic digital twin of the real world in which the identity and status of any object are represented in a probabilistic graphical structure. Then, we introduce use cases of the probabilistic digital twin, such as probabilistic object recognition, prediction of the existence of obstacles, and risk-sensitive robot control for robotized automation in various environments such as warehouse operations.
Publisher	Institute of Electrical and Electronics Engineers Inc.
Source Title	IEEE Network
Volume (Issue)	38(6)
Page	130-137
Date of Issued	2024-11-01
Language	English
Handle URL	https://hdl.handle.net/11094/100700
PISSN	08908044
eISSN	1558156X
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1109/MNET.2024.3439514
Access Rights	open access
CopyRight	This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCTERMS.bibliographicCitation	IEEE Network. 2024, 38(6), p. 130-137
DC.title	Probabilistic Representation and Its Application of Digital-Twin of Spatio-Temporal Real-World Toward Trustable Cyber-Physical Interactions
DC.creator	Shimonishi, Hideyuki
	Kominami, Daichi
	Ohsita, Yuichi
	Yoshida, Hiroshi
	Nogami, Kousuke
	Kanetomo, Dai
	Murata, Masayuki
DC.publisher	Institute of Electrical and Electronics Engineers Inc.
DC.language' scheme='DCTERMS.RFC1766	English
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2024-11-01
DC.identifier	https://doi.org/10.1109/MNET.2024.3439514
DC.subject	Cyber-Physical System
	Digital Twin
	Probabilistic representation
DC.description	Shimonishi H., Kominami D., Ohsita Y., et al. Probabilistic Representation and Its Application of Digital-Twin of Spatio-Temporal Real-World Toward Trustable Cyber-Physical Interactions. IEEE Network 38, 130 (2024); https://doi.org/10.1109/MNET.2024.3439514.
DCTERMS.abstract	The digital twin is a high-precision, real-time representation of the real world. It has evolved from a digital copy of physical objects, such as jet engines, robots, or any machine, to a broader concept to represent a space, room, building, and city, where many objects and humans interact to engage in productive activities. The digital twin has been attracting attention as an important component of cyber-physical systems in many real-world use cases where safety and trustability are critical. In this article, we argue that risk management is dramatically improved through probabilistic representation of the real world whose true status is only inferred with certain uncertainties. We introduce an evolution of the digital twin and then present a probabilistic digital twin of the real world in which the identity and status of any object are represented in a probabilistic graphical structure. Then, we introduce use cases of the probabilistic digital twin, such as probabilistic object recognition, prediction of the existence of obstacles, and risk-sensitive robot control for robotized automation in various environments such as warehouse operations.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	100700
citation_title	Probabilistic Representation and Its Application of Digital-Twin of Spatio-Temporal Real-World Toward Trustable Cyber-Physical Interactions
citation_author	Shimonishi, Hideyuki
	Kominami, Daichi
	Ohsita, Yuichi
	Yoshida, Hiroshi
	Nogami, Kousuke
	Kanetomo, Dai
	Murata, Masayuki
citation_publisher	Institute of Electrical and Electronics Engineers Inc.
citation_language	English
citation_date	2024-11-01
citation_journal_title	IEEE Network
citation_volume	38
citation_issue	6
citation_firstpage	130
citation_lastpage	137
citation_doi	https://doi.org/10.1109/MNET.2024.3439514
citation_public_url	https://hdl.handle.net/11094/100700

Probabilistic Representation and Its Application of Digital-Twin of Spatio-Temporal Real-World Toward Trustable Cyber-Physical Interactions

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