Knowledge-based Planning for the Use of Exoskeletons

基于知识的外骨骼使用规划

基本信息

项目摘要

The interaction and integration of humans and technology have intensified in recent years. As one approach for human-machine interaction, exoskeletons have increasingly been emerging as a suitable support technology in industry. Depending on the production scenario, exoskeletons are suited to support workers, as they are capable of either facilitating and adding movements or stabilizing postures. Until now, supportive methods or tools for the simulation-based selection and adaption of exoskeletons only exist for single aspects though. Due to the lack of evidence and models for the detailed and integrated simulation of exoskeletons in manual production scenarios with respect to dynamic and kinematic aspects, uncertainty remains about the targeted use and supportive effect of exoskeletons on the human body in work activities. To address this issue, ExoExpert aims to develop a novel planning method including a simulation model to provide decision support for identifying exoskeletons for manual production processes and adapting system behaviour. The project is supposed to assist ergonomists and engineers in appropriately evaluating, selecting, and adapting exoskeletons for industrial scenarios prior to system implementation. The knowledge- and simulation-based method consists of four major building blocks. Based on the analysis of characteristics and state-of the- art methods, an (1) evaluation systematic for heterogenous exoskeletons will be conceptualized. This systematic will serve as the basis for the development of the (2) co-simulation model, which is composed of the modeling and simulation of (a) process-related as well as (b) technical and biomechanical parameters. A (3) decision model will operationalize the co-simulation results concerning the context-adapted selection of exoskeletons. The last step provides the (4) practical validation and optimization of the developed method using exoskeletal demonstrators before the method is generalized. ExoExpert first-time enables to interactively model and ergonomically evaluate exoskeletons. The fundamental innovation lies in its holistic knowledge- and simulation-based approach. Besides, the method helps check possibilities of movement executions of exoskeletons prior to implementation. Thus, the method can potentially make an unsuccessful, time- and money-consuming implementation of exoskeletons redundant and help reduce the engineering workload. The joint research will be carried out on the Chair of Production Systems at the Ruhr University Bochum (RUB) and Chair of Production Technology at the University Innsbruck (UIBK).
近年来,人类与技术的相互作用和整合加剧了。作为人机相互作用的一种方法,外骨骼越来越多地成为行业中合适的支持技术。根据生产情况,外骨骼适合支持工人,因为它们能够促进和增加运动或稳定姿势。到目前为止,仅对于单个方面存在基于仿真选择和适应外骨骼的支持的支持方法或工具。由于缺乏对动态和运动学方面的手动生产方案中外骨骼的详细和集成模拟的证据和模型,因此在工作活动中外骨骼对人体对人体的靶向使用和支持作用的不确定性仍然存在。为了解决这个问题,ExoExpert旨在开发一种新颖的计划方法,其中包括模拟模型,以提供决策支持,以识别手动生产过程和适应系统行为的外骨骼。该项目应该在系统实施之前为工程学师和工程师提供适当评估,选择和调整外骨骼的工业场景。基于知识和模拟的方法由四个主要的构件组成。基于对特征和最新方法的分析,将概念化异源外骨骼的(1)评估系统。该系统将作为开发(2)共模型模型的基础,该模型由(a)与过程相关以及(b)技术和生物力学参数的建模和仿真组成。 A(3)决策模型将操作有关环境适应外骨骼选择的共模拟结果。最后一步提供了使用外骨骼示威者在该方法推广之前使用外骨骼示威者对开发方法的实际验证和优化。 ExoExpert首次可以进行交互模型和人体工程学评估外骨骼。基本创新在于其基于知识和基于模拟的整体方法。此外,该方法有助于在实施之前检查移动执行外骨骼的可能性。因此,该方法可能会导致外骨骼的耗时不成功,时间和货币耗尽的实施,并有助于减少工程工作量。联合研究将在Ruhr University Bochum(RUB)的生产系统主席和Innsbruck大学生产技术主席(UIBK)上进行。

项目成果

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Professor Dr.-Ing. Bernd Kuhlenkötter其他文献

Professor Dr.-Ing. Bernd Kuhlenkötter的其他文献

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{{ truncateString('Professor Dr.-Ing. Bernd Kuhlenkötter', 18)}}的其他基金

Modeling of a hyperheuristic approach within an agent system to support operational planning for industrial product service systems in the production environment
对代理系统内的超启发式方法进行建模,以支持生产环境中工业产品服务系统的运营规划
  • 批准号:
    424733996
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Robot-based incremental sheet forming - compensating for disturbances caused by a local heating and the inaccuracy of the metal forming device
基于机器人的增量板材成形 - 补偿由局部加热和金属成形设备的不准确性引起的干扰
  • 批准号:
    389056414
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Research Grants
High-speed motion tracking and coupling for human-robot collaborative assembly tasks (HiSMoT)
用于人机协作装配任务的高速运动跟踪和耦合 (HiSMoT)
  • 批准号:
    500490184
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Use of machine learning methods for predicting the Remaining-Useful-Life of tools using the example of mandrel rolls in radial-axial ring rolling
使用机器学习方法以径向-轴向环材轧制中的芯轴辊为例来预测工具的剩余使用寿命
  • 批准号:
    464881255
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Prevention of defects during radial-axial rolling of rings based on online data analysis
基于在线数据分析的环件径向轴向轧制缺陷预防
  • 批准号:
    404517758
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Prediction and compensation of subsequent deformation in robotbased incremental sheet forming by application of machine learning
应用机器学习预测和补偿基于机器人的增量板材成形中的后续变形
  • 批准号:
    457407945
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Autonomous Measurement and Efficient Storage of Industrial Robot Motion Data
工业机器人运动数据的自主测量和高效存储
  • 批准号:
    515675259
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Integrated layout and path optimization of manufacturing cells
制造单元的集成布局和路径优化
  • 批准号:
    537603255
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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