An IIoT Platform For Human-Aware Factory Digital Twins

Montini, Elias; Cutrona, Vincenzo; Bonomi, Niko; Landolfi, Giuseppe; Bettoni, Andrea; Rocco, Paolo; Carpanzano, Emanuele

doi:10.1016/j.procir.2022.05.042

Cited by 20 publications

(9 citation statements)

References 20 publications

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“…As for other specific challenges related to research and commercial interests, there is the integration of human avatars into digital twins. Including the human element as part of the digital twin [21] is a trend that presents challenges in different fields. On the one hand, there are the security and privacy aspects, since the human-aware digital twin may be representing sensitive information related to the human element.…”

Section: Future Challengesmentioning

confidence: 99%

Improving digital twin experience through big data, IoT and social analysis: An architecture and a case study

Alonso,

Locci,

Reforgiato Recupero

2024

Heliyon

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Section: Future Challengesmentioning

confidence: 99%

Improving digital twin experience through big data, IoT and social analysis: An architecture and a case study

Alonso,

Locci,

Reforgiato Recupero

2024

Heliyon

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“…HRI necessitates continuous assessment of human factors to analyze and evaluate working conditions during these interactions [23]. A unique aspect of robotics is the advancement of DTs, high-fidelity, simulated representations that communicate in real time [42,47]. These systems and simulation models optimize production and conduct safety tests [48].…”

Section: Industry 50 Technologiesmentioning

confidence: 99%

Synopsis of Industry 5.0 Paradigm for Human-Robot Collaboration

Yitmen,

Almusaed

2024

Artificial Intelligence

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This chapter explores the synopsis of the Industry 5.0 paradigm, focusing on Human-robot collaboration, encompassing critical elements from following the progression of evolution from Industry 4.0 to Industry 5.0 to the implementation of cutting-edge technologies and human-centric approaches within this framework. Industry 5.0 paradigm shift builds upon the foundation laid by Industry 4.0, with a renewed focus on integrating human intelligence and creativity with the capabilities of robots. The Operator of Industry 5.0 embodies the idea of skilled human operators working alongside automated systems to optimize performance and efficiency. Industry 5.0 technologies encompass collaborative robots (cobots) and advancements in robot learning, enabling safe and efficient collaboration between humans and machines and facilitating dynamic partnerships in shared workspaces. Human-centric approaches within Industry 5.0 technologies ensure that technological advancements align with human needs and preferences, fostering a work environment where humans and robots collaborate harmoniously. The concept of the Human Digital Twin offers a compelling instrument for identifying and optimizing human behavior within the context of Industry 5.0, enabling organizations to tailor processes and workflows to individual capabilities and preferences.

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“…In the context of Industry 5.0, the fusion of both types of intelligence entails the cognitive coordination between humans and AI in machines, enabling them to collaborate in the innovation, design, and creation of tailored products and services. Complementarity between humans and AI (see Table 1) leads to the more effective execution of such tasks than would be possible if relegated to humans or machines only [18,51,75,86].…”

Section: New Technological Opportunities To Reshape the Human Workforcementioning

confidence: 99%

“…In addition to the direct human involvement described above, digital twins [74] are another way to incorporate human insights into the AI processes. By creating virtual models of human behavior and mental processes, more profound insights into how humans interact with the world and use this information to improve AI systems.…”

Section: New Technological Opportunities To Reshape the Human Workforcementioning

confidence: 99%

Artificial Intelligence in Manufacturing

Chen

Wang

2022

Artificial Intelligence and Lean Manufacturing

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An IIoT Platform For Human-Aware Factory Digital Twins

Cited by 20 publications

References 20 publications

Improving digital twin experience through big data, IoT and social analysis: An architecture and a case study

Improving digital twin experience through big data, IoT and social analysis: An architecture and a case study

Synopsis of Industry 5.0 Paradigm for Human-Robot Collaboration

Artificial Intelligence in Manufacturing

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