Human-Machine-Interaction Laboratory
Human-Machine-Interaction Laboratory
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 --
中文摘要
更好地理解人类与技术系统的交互是实现工业5.0愿景的核心前提。为此,必须在统计相关的尺度上研究作为机械和信息刺激结果的人类行为。这需要一种研究环境,在这种环境中,机械和信息刺激可以重现,人类的行为可以被量化。利用建议的研究仪器,将有可能让测试者在混合的物理和虚拟研究环境中与模拟的手持机器交互。手持式机器通过机器人和激振器进行触觉模拟,从而可以执行测试人员的大动作和机器人主动支持的应用。测试人员通过物理手柄用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的机器。不同的信息刺激将通过虚拟现实环境设置。例如,通过诸如作用力、身体运动或肌电信号等变量来测量人的行为。手持机器的物理-虚拟模拟也使其有可能在与人类交互时测试新的和不存在的机器和控制概念。因此,这种研究环境使新的知识驱动的、以人为中心的产品开发成为可能。
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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会议论文
国内基金
海外基金
Understanding structural evolution of galaxies with machine learning
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批准号:
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项目类别:省市级项目
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资助金额:10.0万元
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批准年份:2022
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负责人:Nicola Rosario Napolitano
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依托单位: