Intelligent Manual Working Station through Assistive Systems

Bertram, Patrick; Birtel, Max; Quint, Fabian; Ruskowski, Martin

doi:10.1016/j.ifacol.2018.08.253

Cited by 23 publications

(9 citation statements)

References 5 publications

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“…Funk et al [13] discussed the requirements for providing cognitive support at the workplace. Bertram et al [14] analysed the intelligent workstations available in both research and industry applications. Several implementations were presented, including the Bosch Rexroth's "ActiveAssist" station and "Plant@Hand" from the Fraunhofer Institute for Computer Graphics Research.…”

Section: Related Workmentioning

confidence: 99%

An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems

et al. 2021

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Industrial assistive systems result from a multidisciplinary effort that integrates IoT (and Industrial IoT), Cognetics, and Artificial Intelligence. This paper evaluates the Prediction by Partial Matching algorithm as a component of an assembly assistance system that supports factory workers, by providing choices for the next manufacturing step. The evaluation of the proposed method was performed on datasets collected within an experiment involving trainees and experienced workers. The goal is to find out which method best suits the datasets in order to be integrated afterwards into our context-aware assistance system. The obtained results show that the Prediction by Partial Matching method presents a significant improvement with respect to the existing Markov predictors.

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Section: Related Workmentioning

confidence: 99%

An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems

et al. 2021

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“…More extensive forms of digital assistance, which are, for example, already implemented in learning factories are not used (see e.g. [11][12][13]). However, in particular less qualified assembly workers could benefit from these.…”

Section: Motivation and Preparatory Workmentioning

confidence: 99%

Analysis of the influence of process complexity and employee competence on the effect of digital assistance in industrial assembly

Keller

Behling

Stockinger

et al. 2020

Prod. Eng. Res. Devel.

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The diversification of products increases the complexity of production, which intensifies the demands placed on employees. Digital assistance is expected to improve employee performance and flexibility. This paper examines the impact of digital assistance on labor productivity (hourly output) and experience of use in dependence on process complexity and employee competence. Within the framework of an empirical study in the process learning factory CiP of the TU Darmstadt, the effect was quantified using the example of a typical assembly process. This paper presents the concept and the results of the study. After the classification of an assembly task, these results can be used to support the selection decision for a digital assistance system according to cost–benefit aspects.

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“…In the manual assembly of complex products, the use of cognitive assistance systems (also: digital assistance systems [14]) is suitable for supporting employees. In most cases this is done by fading in assembly process information [15,16]. Extended systems have integrated resources for process testing and documentation, so that processes can be checked for their correct execution and logged for traceability purposes.…”

Section: Cognitive Assistance Systemsmentioning

confidence: 99%

Virtual Reality based Assembly Process Validation and Rework Assistance with consistent Data Exchange

Müller¹,

Hörauf²,

Bashir³

et al. 2020

Annals of Scientific Society for Assembly, Handling and Industrial Robotics

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Due to rising product and process complexity, assistance systems for humans are increasingly used in both the planning and execution of assembly activities or as support systems for reworking. However, developments available so far usually act as isolated solutions. Therefore a continuous dataflow between top and shop floor is not given. This article presents a comprehensive assistance system consisting of a virtual planning environment and various smart devices at an assembly workstation. In the virtual environment, the feasibility of initially created product condition graphs will be validated and a training of the repair scope to be carried out will be done. As a result, a process plan is derived from the virtual environment and transferred to an assisted workstation for reworking. The repair on the real product is carried out using the created process plan so that a continuous data flow is available. Thus the system supports the persons involved in the product analysis and work plan creation up to the execution of repair activities during rework.

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Intelligent Manual Working Station through Assistive Systems

Cited by 23 publications

References 5 publications

An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems

An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems

Analysis of the influence of process complexity and employee competence on the effect of digital assistance in industrial assembly

Virtual Reality based Assembly Process Validation and Rework Assistance with consistent Data Exchange

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