ArticleSensors (Basel, Switzerland)2022
Digital Twin for Human-Robot Interactions by Means of Industry 4.0 Enabling Technologies.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A comprehensive review and bibliometric analysis on collaborative robotics for industry: safety emerging as a core focus.Frontiers in robotics and AI · 2025Pooled it
- Human-Centric Digital Twins in Industry: A Comprehensive Review of Enabling Technologies and Implementation Strategies.Sensors (Basel, Switzerland) · 2023Pooled it
- IoT-Cloud-Based Control of a Mechatronic Production Line Assisted by a Dual Cyber-Physical Robotic System Within Digital Twin, AI and Industry/Education 4.0/5.0 Frameworks.Sensors (Basel, Switzerland) · 2026Article
- Real-Time Digital Twin Architecture for Immersive Industrial Automation Training.Sensors (Basel, Switzerland) · 2026Article
- Design of a mixed reality-based digital twin human-machine interaction system for special working conditions.Frontiers in robotics and AI · 2026Article
- Cloud/VPN-Based Remote Control of a Modular Production System Assisted by a Mobile Cyber-Physical Robotic System-Digital Twin Approach.Sensors (Basel, Switzerland) · 2025Article
- Digital twins for building industrial metaverse.Journal of advanced research · 2024Article
- IoT-Cloud, VPN, and Digital Twin-Based Remote Monitoring and Control of a Multifunctional Robotic Cell in the Context of AI, Industry, and Education 4.0 and 5.0.Sensors (Basel, Switzerland) · 2024Article
- Unity and ROS as a Digital and Communication Layer for Digital Twin Application: Case Study of Robotic Arm in a Smart Manufacturing Cell.Sensors (Basel, Switzerland) · 2024Article
- Design of Digital-Twin Human-Machine Interface Sensor with Intelligent Finger Gesture Recognition.Sensors (Basel, Switzerland) · 2023Article
- Digital Twin for a Multifunctional Technology of Flexible Assembly on a Mechatronics Line with Integrated Robotic Systems and Mobile Visual Sensor-Challenges towards Industry 5.0.Sensors (Basel, Switzerland) · 2022Article
- Smart Manufacturing and Digitalization of Metrology: A Systematic Literature Review and a Research Agenda.Sensors (Basel, Switzerland) · 2022Review
- Digital Twin-Based Integrated Monitoring System: Korean Application Cases.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There has been a rapid increase in the use of collaborative robots in manufacturing industries within the context of Industry 4.0 and smart factories. The existing human-robot interactions, simulations, and robot programming methods do not fit into these fast-paced technological advances as they are time-consuming, require engineering expertise, waste a lot of time in programming and the interaction is not trivial for non-expert operators. To tackle these challenges, we propose a digital twin (DT) approach for human-robot interactions (HRIs) in hybrid teams in this paper. We achieved this using Industry 4.0 enabling technologies, such as mixed reality, the Internet of Things, collaborative robots, and artificial intelligence. We present a use case scenario of the proposed method using Microsoft Hololens 2 and KUKA IIWA collaborative robot. The obtained results indicated that it is possible to achieve efficient human-robot interactions using these advanced technologies, even with operators who have not been trained in programming. The proposed method has further benefits, such as real-time simulation in natural environments and flexible system integration to incorporate new devices (e.g., robots or software capabilities).
Indexed as
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What OpenQuestion holds
Registered trials
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.