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Cyber-physical-human systems for mobile robots in energy asset management: Current practices and future opportunities

Mitchell, Daniel; Baniqued, Paul Dominick E.; Kivrak, Hasan; Blanche, Jamie; Bremner, Paul A.; Harper, Samuel; Jiang, Zhengyi; Pulgarin, Erwin Jose Lopez; Paterson, Jessica; Carrasco, Joaquin; Groves, Keir; Giuliani, Manuel; Herrmann, Guido; Lennox, Barry; Lim, Theodore; Watson, Simon; Flynn, David

Authors

Daniel Mitchell

Paul Dominick E. Baniqued

Hasan Kivrak

Jamie Blanche

Paul Bremner Paul2.Bremner@uwe.ac.uk
Associate Professor in Human Robotics Interactions

Samuel Harper

Zhengyi Jiang

Erwin Jose Lopez Pulgarin

Jessica Paterson

Joaquin Carrasco

Keir Groves

Manuel Giuliani

Guido Herrmann

Barry Lennox

Theodore Lim

Simon Watson

David Flynn



Abstract

Rapid advancement of digital technologies has resulted in an acceleration of cyber–physical systems for autonomous mobile robots to improve energy asset management activities within inspection, maintenance and repair. Within this systems-based approach, the role of the human-in-the-loop has also increased leading to cyber–physical-human systems requiring real-time interaction of robotics and digital twins with a human operator. Subject to existing network systems and physical systems, cyber–physical-human systems face enormous challenges requiring further investigation. This review presents the state-of-the-art in discovery, design, development and deployment of cyber–physical-human systems for mobile robots in energy asset management. To address dominant concepts and misconceptions in this area, key terminologies, system concepts and applications are presented. Then a state-of-the-art review with associated trends for several applications within academic and industrial sectors is presented where current practises and limitations are then discussed. Finally, future opportunities are explored alongside highlighted concepts providing a pathway for rapid adoption and improved key performance indicators of mobile fleets for facility operators and those in the wider community.

Journal Article Type Article
Acceptance Date Jul 19, 2025
Online Publication Date Aug 7, 2025
Publication Date Sep 30, 2025
Deposit Date Aug 12, 2025
Journal Energy and AI
Print ISSN 2666-5468
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 21
Article Number 100570
DOI https://doi.org/10.1016/j.egyai.2025.100570
Keywords Cyber physical system; Cyber-physical-human systems; Digital twin; Digitalisation; Energy asset management; Human-in-the-loop; Mobile robotics
Public URL https://uwe-repository.worktribe.com/output/14816399
Publisher URL https://www.sciencedirect.com/
Additional Information This article is maintained by: Elsevier; Article Title: Cyber-physical-human systems for mobile robots in energy asset management: Current practices and future opportunities; Journal Title: Energy and AI; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.egyai.2025.100570; Content Type: article; Copyright: Crown Copyright © 2025 Published by Elsevier Ltd.
This output contributes to the following UN Sustainable Development Goals:

SDG 9 - Industry, Innovation and Infrastructure

Build resilient infrastructure, promote inclusive and sustainable industrialisation and foster innovation






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