Industrial Internet of Things: A Swarm Coordination Framework for Human-in-the-Loop

Yang, Wenchao; Li, Wenfeng; Cao, Jingjing; Wang, Qiang; Duan, Ying

doi:10.1109/smc.2018.00470

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…In their context, they propose that the understanding of human ro les from a social perspective is important in designing efficient manufacturing systems of the future. This perspective becomes even more important when the human agen t is located in a heterogeneous ecosystem of other intelligent agents [7]. In this scenario, human factors consideration becomes important and necessary in order to ensure that humans are kept safe.…”

Section: Introductionmentioning

confidence: 99%

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Human in the Loop: Industry 4.0 Technologies and Scenarios for Worker Mediation of Automated Manufacturing

Turner

Chen

et al. 2021

IEEE Access

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Industry 4.0 derived technologies have the potential to enable a new wave of digital manufacturing solutions for semi and fully automated production. In addition, this paradigm enco m p a s ses the use of communication technologies to transmit data to processing stations as well as the utilization of cloud based computational resources for data mining. Despite the rise in automation, future manufactu rin g systems will initially still require humans in the loop to provide supervisory level mediation for even the most autonomous production scenarios. Through a structured review, this paper details a number of key technologies that are most likely to shape this future and describes a range of scenarios for their use in delivering human mediated automated and autonomous production. This paper argues that in all cases of future manufacturing management it is key that the human has oversight of critical information flows and remains an active participant in the delivery of the next generation of production systems.

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Section: Introductionmentioning

confidence: 99%

“…In this scenario, human factors consideration becomes important and necessary in order to ensure that humans are kept safe. The heterogeneous nature of the ecosystem does present some dynamic multi-level challenges that need to be addressed [7] [8].…”

Section: Introductionmentioning

confidence: 99%

Human in the Loop: Industry 4.0 Technologies and Scenarios for Worker Mediation of Automated Manufacturing

Turner

Chen

et al. 2021

IEEE Access

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“…Such systems will be stronger because the deep connection of intelligent systems allow coordinating and cooperating through the whole system, from different levels and using multiple aspects. Typically, there are three cooperation problems that concern researchers: the behavior-level cooperation (e.g., between CIVs [5][6][7] or Numerical Control Machines [8]), the computation-level cooperation (e.g., within a satellite fleet or edge clouds [9]), and the mission-level cooperation (e.g., within a fleet of robots or flights [10,11]).…”

Section: Introductionmentioning

confidence: 99%

Multi-Constraint Optimized Planning of Tasks on Virtualized-Service Pool for Mission-Oriented Swarm Intelligent Systems

et al. 2019

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With the emergence of swarm intelligent systems, especially the swarming of aircraft and ground vehicles, cooperation in multiple dimensions has becoming one of the great challenges. How to dynamically schedule the resources within a swarm intelligent system and optimize the execution of tasks are all vital aspects for such systems. Focusing on this topic, in this paper, one new task planning mechanism with multiple constraints is proposed to solve such dynamic programming problems. Concretely, several fundamental models, covering three-level task models and resource-service pool models, are put forward and defined first. Considering the limitations of swarm systems running within complicated cyber-physical space, multi-dimension constraints for tasks scheduling and execution are further modeled and established. On this basis, we mapped this planning problem to an optimization searching problem, and then proposed a Genetic-Algorithm-based mechanism. All these works have been verified with simulated cooperation scenes. Experimental results show that this new mechanism is efficient to solve such resource-related and mission-oriented cooperation problems in complicated environments.

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When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development

Liu

Tian

Chen

2022

Journal of Manufacturing Systems

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Industrial Internet of Things: A Swarm Coordination Framework for Human-in-the-Loop

Cited by 3 publications

References 17 publications

Human in the Loop: Industry 4.0 Technologies and Scenarios for Worker Mediation of Automated Manufacturing

Human in the Loop: Industry 4.0 Technologies and Scenarios for Worker Mediation of Automated Manufacturing

Multi-Constraint Optimized Planning of Tasks on Virtualized-Service Pool for Mission-Oriented Swarm Intelligent Systems

When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development

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