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Human-Machine-Interaction Laboratory

Human-Machine-Interaction Laboratory
人机交互实验室
批准号:
528773253
负责人:
金额:
$0.0万
依托单位国家:
德国
项目类别:
Major Research Instrumentation
财政年份:
2024
资助国家:
德国
项目状态:
未结题
起止时间:
2023-12-31 至 --

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中文摘要
翻译
更好地理解人类与技术系统的交互是实现工业5.0愿景的核心先决条件。为此,人类在机械和信息刺激下的行为必须在统计相关的尺度上进行研究。这需要一个研究环境,在这个环境中,机械和信息刺激可以被复制,人类行为可以被量化。有了提议的研究仪器,将有可能让测试人员在混合物理-虚拟研究环境中与模拟手持机器进行交互。手持式机器通过机器人和振动激振器进行触觉模拟,因此测试人员的大运动和机器人积极支持的应用可以执行。测试人员通过物理手柄单手或双手握住机器人系统和激振器,从而可以触觉地体验模拟机器。通过虚拟现实环境设置不同的信息刺激。人的行为被测量,例如通过发生的力量、身体运动或肌电图信号等变量。手持机器的物理虚拟模拟也使得测试新的和不存在的机器和控制概念与人类互动成为可能。因此,这种研究环境使以知识为导向的以人为中心的新产品开发成为可能。
英文摘要
A better understanding of human interaction with technical systems is a central prerequisite for realizing the vision of Industry 5.0. For this, the behavior of humans as a result of mechanical and informational stimuli must be studied on a statistically relevant scale. This requires a research environment in which mechanical and informational stimuli can be reproduced and in which human behavior can be quantified. With the proposed research instrument, it will be possible to let test persons interact with a simulated hand-held machine in a mixed physical-virtual research environment. The hand-held machine is haptically simulated via a robot and vibration exciter, so that large movements of the test person and applications actively supported by the robot can be performed. The test person grasps the robot system and the vibration exciter with one or both hands via a physical handle and can thus experience the simulated machine haptically. Different informational stimuli will be set via a virtual reality environment. The behavior of the person is measured, for example via variables such as occurring forces, body movements or EMG signals. The physical-virtual simulation of the hand-held machine also makes it possible to test novel and non-existing machine- and control concepts in interaction with humans. This research environment thus enables a new knowledge-driven human-centered product development.
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Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位: