Daniel Mitchell
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
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. |
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