Evidence map›Paper›PMID 42063573›Full record

ArticleFrontiers in robotics and AI2026

Design of a mixed reality-based digital twin human-machine interaction system for special working conditions.

Shuai Li, Yifei Hu, Huiyu Li, Junjie Xu, Ming Li, Yunqiang Zhang, Qingting Ren

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shuai LiState Grid Ruijia (Tianjin) Intelligent Robot Co., Ltd., Tianjin, China.
Yifei HuState Grid Tianjin Electric Power Company, Tianjin, China.
Huiyu LiState Grid Ruijia (Tianjin) Intelligent Robot Co., Ltd., Tianjin, China.
Junjie XuState Grid Ruijia (Tianjin) Intelligent Robot Co., Ltd., Tianjin, China.
Ming LiState Grid Ruijia (Tianjin) Intelligent Robot Co., Ltd., Tianjin, China.
Yunqiang ZhangState Grid Ruijia (Tianjin) Intelligent Robot Co., Ltd., Tianjin, China.
Qingting RenState Grid Ruijia (Tianjin) Intelligent Robot Co., Ltd., Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Operational robots have demonstrated significant potential in complex scenarios such as live-line maintenance and medical surgery. Existing research on Mixed Reality (MR) and Digital Twin (DT) systems has primarily focused on unidirectional data visualization and passive state monitoring. Existing research on Mixed Reality (MR) and Digital Twin (DT) systems has primarily focused on unidirectional data visualization and passive state monitoring, acting as "open-loop" observation tools that fail to address low operational precision and inefficient human-robot synergy in dynamic, high-risk environments. For the first time, we integrate an MR-based closed-loop digital twin operating system for human-robot collaborative operation into the task execution of live-line operation equipment to address the above challenges. Moving beyond simple visualization, the proposed framework establishes an integrated operational paradigm that bridges the gap between immersive perception and real-time interventional control. This framework comprises three integral components: (1) the construction of a high-fidelity virtual digital twin; (2) the development of a human-computer interaction paradigm based on MR technology; and (3) the establishment of an MR-based human-machine collaborative operation mode. Building upon this framework, a system was implemented for live-line working robots. Experimental results indicate that, compared with traditional control methods, the proposed system reduces the task completion time of live-line equipment tasks by 14.3% on average, verifying the feasibility and effectiveness of the pioneering application of the closed-loop digital twin operating system in live-line operation equipment.

Indexed as

digital twinhuman-computer interactionhuman-machine collaborationmixed realityspecial working conditions

Identifiers

PMID42063573
PMCPMC13124514

What OpenQuestion holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.