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- W4383702716 abstract "Abstract Beside the advancing trends in automation especially in regard to Industry 4.0, workers in industrial factories in non-automated work activities often face repetitive tasks with heavy workloads. Whenever methods or adaptions in both technology and organization are insufficient to optimize working conditions, personal-related interventions as exoskeletons come into question. They may prove successful in alleviating musculoskeletal disorders and relieving physical strain. The increasing number of exoskeletons often challenges users or companies to select or specify an appropriate specific system for their applications. In order to address this problem, this paper presents the possibility for developers of using a digital twin for evaluating particular support characteristics of exoskeletons at an early stage of product development. The process for a user-specific design is strongly dependent on the activity and its environment. As a use case for the validation of a digital twin, an overhead work activity is analyzed and relevant factors such as muscle activity are examined in this paper. Initial simulation results show promising possibilities for parameter variation of different properties of an industrial work process in order to create a starting point for a future developing of an optimally tailored upper body exoskeleton." @default.
- W4383702716 created "2023-07-10" @default.
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- W4383702716 date "2023-01-01" @default.
- W4383702716 modified "2023-09-27" @default.
- W4383702716 title "Digital Twin for Evaluating Support Characteristics for Industrial Exoskeletons for Upper Body Activities" @default.
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- W4383702716 doi "https://doi.org/10.1007/978-3-031-10071-0_10" @default.
- W4383702716 hasPublicationYear "2023" @default.
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