Evaluation of a Digital Worker Assistance System to enable Adaptive Task Sharing between Humans and Cobots in Manufacturing

Schmidbauer, Christina; Hader, Bernd; Schlund, Sebastian

doi:10.1016/j.procir.2021.11.007

Cited by 11 publications

(9 citation statements)

References 17 publications

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“…The web-based business process model and notation (BPMN) prototype of [6], [7], and [8], served as a basis and was further developed (see Section System Architecture) to enable ATS. By using BPMN (see Fig.…”

Section: B User Interface Design For Adaptive Task Sharingmentioning

confidence: 99%

“…By using BPMN (see Fig. 2) and representing the collaborative human-robot process as a business process, the worker is provided with a very easy-to-use programming environment [7], [8] and can adjust the task allocation before each run if necessary. For this purpose, a variant with three swimlanes was chosen, whereby the top swimlane represents the role of the human, the bottom swimlane the role of the cobot and the middle swimlane contains all those tasks that must be assigned to either the human or the robot.…”

Section: B User Interface Design For Adaptive Task Sharingmentioning

confidence: 99%

“…Our previous, preparatory work for the present contribution includes inter alia empirical studies on the topic human-robot agency and the role of perceived control [5] as well as participatory design in HRI in manufacturing, in particular the development and evaluation of an adaptive task sharing method and software [6], [7], [8], [9]. For this article, we reviewed relevant literature on workers' preferences in human-robot task sharing (cf., Section II) and elaborated on the research gap and five hypotheses (cf., Section III).…”

mentioning

confidence: 99%

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An Empirical Study on Workers' Preferences in Human–Robot Task Assignment in Industrial Assembly Systems

Schmidbauer

Zafari

Hader

et al. 2023

IEEE Trans. Human-Mach. Syst.

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Collaborative industrial robotic arms (cobots) are integrated industrial assembly systems relieving their human coworkers from monotonous tasks and achieving productivity gains. The question of task allocation arises in the organization of these human-robot interactions. State of the art shows static, compensatory task allocation approaches in current assembly systems and flexible, adaptive task sharing (ATS) approaches in human factors research. The latter should exploit the economic and ergonomic advantages of cobot usage. Previous research results did not provide a clear insight into whether industrial workers prefer static or adaptive task allocation and which tasks workers do prefer to assign to cobots. Therefore, we set up a cobot demonstrator with a realistic industrial assembly use case and did a user study with experienced workers from the shop floor (n = 25). The aim of the user study is to provide a systematic understanding and evaluation of workers' preferences in a practical context of humanrobot interaction (HRI) in assembly. Our main findings are that participants preferred the ATS concept to a predetermined task allocation and reported increased satisfaction with the allocation.Results show that participants are more likely to give manual tasks to the cobot in contrast to cognitive tasks. It shows that workers do not entrust all tasks to robots, but like to take over cognitive tasks by themselves. This work contributes to the design of human-centered HRI in industrial assembly systems.

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Section: B User Interface Design For Adaptive Task Sharingmentioning

confidence: 99%

Section: B User Interface Design For Adaptive Task Sharingmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

An Empirical Study on Workers' Preferences in Human–Robot Task Assignment in Industrial Assembly Systems

Schmidbauer

Zafari

Hader

et al. 2023

IEEE Trans. Human-Mach. Syst.

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“…The workflow sequences have to be pre-programmed in advanced and are later retrieved during the process. Tasks that are executable by either the cobot or the human (shareables) are subject of possible reallocation before any new process operation (Schmidbauer et al 2021). Regarding the work system model, the example is situated at the work organization level between the human and the machine and expands towards work settings with multiple human and machine agents.…”

Section: Adaptive Projection Of Work Instructions and Additional Info...mentioning

confidence: 99%

Towards Designing Adaptive and Personalized Work Systems in Manufacturing

Schlund¹,

Kostolani²

2022

Digitization of the Work Environment for Sustainable Production

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Adaptation of work to humans instead of humans constantly adapting to work systems and work environments has been a goal of ergonomics since the 19th century. To date, an actual adaptation of work to the specific features, conditions and requirements of individual users has so far only taken place in rudimentary form. The possibilities have now opened up by the advances of Cyber Physical Production Systems (CPPS). This enables a renewed attempt to implement the goal of adapting work systems to workers. Integration of advanced sensory skills into work systems within manufacturing allows better recognition of the work environment and the actual state of the system. Together with actuator capabilities, it enables adaptive work systems to adjust their structure and behaviour to the anthropometric and the cognitive features and requirements of the systems’ users. However, a framework that integrates the concepts of adaptivity and personalization into the work system model and work system design is still missing. This paper explores the roots of adaptive and personalized human-machine systems and shows a framework for integrating these concepts into work systems and manufacturing. Based on this, exemplary works and implementations of individual systems are presented and placed in the overall context. The focus is set on implementations within the TU Wien Pilot Factory that cover adaptability concepts on workplace, process, and system level.

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“…Cobots have been used before, but in industries related to manufacturing [8][9][10][11], medical sector [12][13][14][15] or even in domains such as cognitive architectures [16][17][18]. The problem of integrating cobots into the soldering process was not studied yet.…”

Section: Introductionmentioning

confidence: 99%

New Product Development of a Robotic Soldering Cell Using Lean Manufacturing Methodology

Pop

Campean

Braga³

et al. 2022

Sustainability

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With the advent of manufacturing in Industry 4.0 and consumer demand, there has been a trend of mass customization of products. This customization requirement can only be achieved through the flexibility of manufacturing processes that are tailored to meet the quality standards of customers and the large volume of production in a short time. The increase of the production capacity is achieved through the processes of industrial automation of the manufacture which maintains the increased efficiency for the series production. This study was based on the Design for Six Sigma methodology (DMADV—Define, Measure, Analyze, Design and Verify) in order to determine the soldering process characteristics and how the soldering process can be automatized. When planning the implementation of a collaborative robot in a workstation in the production plant, the following must be taken into account: steps in operations that require the most time for the worker and/or that represent factors of physical and moral overload for him; the use of adequate precision fixing devices, delimitation of work areas, sensors as well as spaces for connecting the workstation to the electrical, hydraulic/pneumatic network and constant cycle time. The proposed solution can improve the productivity of the process by integrating advanced robotics and smart devices into the soldering line.

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Evaluation of a Digital Worker Assistance System to enable Adaptive Task Sharing between Humans and Cobots in Manufacturing

Cited by 11 publications

References 17 publications

An Empirical Study on Workers' Preferences in Human–Robot Task Assignment in Industrial Assembly Systems

An Empirical Study on Workers' Preferences in Human–Robot Task Assignment in Industrial Assembly Systems

Towards Designing Adaptive and Personalized Work Systems in Manufacturing

New Product Development of a Robotic Soldering Cell Using Lean Manufacturing Methodology

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