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Robotics and Artificial Intelligence in the Nuclear Industry: From Teleoperation to Cyber Physical Systems

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

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Robotics and Artificial Intelligence in the Nuclear Industry: From Teleoperation to Cyber Physical Systems. / Shanahan, Declan; Wang, Ziwei; Montazeri, Allahyar.
Artificial intelligence for Robotics and Autonomous Systems. Cham: Springer Nature, 2023. (Studies in Computational Intelligence).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

Harvard

Shanahan, D, Wang, Z & Montazeri, A 2023, Robotics and Artificial Intelligence in the Nuclear Industry: From Teleoperation to Cyber Physical Systems. in Artificial intelligence for Robotics and Autonomous Systems. Studies in Computational Intelligence, Springer Nature, Cham.

APA

Shanahan, D., Wang, Z., & Montazeri, A. (2023). Robotics and Artificial Intelligence in the Nuclear Industry: From Teleoperation to Cyber Physical Systems. In Artificial intelligence for Robotics and Autonomous Systems (Studies in Computational Intelligence). Springer Nature.

Vancouver

Shanahan D, Wang Z, Montazeri A. Robotics and Artificial Intelligence in the Nuclear Industry: From Teleoperation to Cyber Physical Systems. In Artificial intelligence for Robotics and Autonomous Systems. Cham: Springer Nature. 2023. (Studies in Computational Intelligence).

Author

Shanahan, Declan ; Wang, Ziwei ; Montazeri, Allahyar. / Robotics and Artificial Intelligence in the Nuclear Industry : From Teleoperation to Cyber Physical Systems. Artificial intelligence for Robotics and Autonomous Systems. Cham : Springer Nature, 2023. (Studies in Computational Intelligence).

Bibtex

@inbook{6c85ba32c054473e82c4db9b54f22999,
title = "Robotics and Artificial Intelligence in the Nuclear Industry: From Teleoperation to Cyber Physical Systems",
abstract = "This book chapter looks to address how upcoming technology can be used to improve the efficiency of decommissioning processes within the nuclear industry. Challenges associated with decommissioning are introduced with a brief overview of the previous efforts and current practices of nuclear decommissioning. A high-level cyber-physical architecture for nuclear decommissioning applications is then proposed by drawing upon recent technological advances in the realm of Industry 4.0 such as internet of things, sensor networks, and increased use of data analytics and cloud computing approaches. In the final section, based on demands and proposals from industry, possible applications within the nuclear industry are identified and discussed.",
author = "Declan Shanahan and Ziwei Wang and Allahyar Montazeri",
year = "2023",
month = mar,
day = "31",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Nature",
booktitle = "Artificial intelligence for Robotics and Autonomous Systems",

}

RIS

TY - CHAP

T1 - Robotics and Artificial Intelligence in the Nuclear Industry

T2 - From Teleoperation to Cyber Physical Systems

AU - Shanahan, Declan

AU - Wang, Ziwei

AU - Montazeri, Allahyar

PY - 2023/3/31

Y1 - 2023/3/31

N2 - This book chapter looks to address how upcoming technology can be used to improve the efficiency of decommissioning processes within the nuclear industry. Challenges associated with decommissioning are introduced with a brief overview of the previous efforts and current practices of nuclear decommissioning. A high-level cyber-physical architecture for nuclear decommissioning applications is then proposed by drawing upon recent technological advances in the realm of Industry 4.0 such as internet of things, sensor networks, and increased use of data analytics and cloud computing approaches. In the final section, based on demands and proposals from industry, possible applications within the nuclear industry are identified and discussed.

AB - This book chapter looks to address how upcoming technology can be used to improve the efficiency of decommissioning processes within the nuclear industry. Challenges associated with decommissioning are introduced with a brief overview of the previous efforts and current practices of nuclear decommissioning. A high-level cyber-physical architecture for nuclear decommissioning applications is then proposed by drawing upon recent technological advances in the realm of Industry 4.0 such as internet of things, sensor networks, and increased use of data analytics and cloud computing approaches. In the final section, based on demands and proposals from industry, possible applications within the nuclear industry are identified and discussed.

M3 - Chapter (peer-reviewed)

T3 - Studies in Computational Intelligence

BT - Artificial intelligence for Robotics and Autonomous Systems

PB - Springer Nature

CY - Cham

ER -