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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
Mechanical Systems01:22

Mechanical Systems

Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically described...

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相关实验视频

Updated: Jun 26, 2026

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
13:44

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Published on: August 8, 2011

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对机器人进行跨学科评估,该机器人与工人进行物理协作.

Andrea Cherubini1, Benjamin Navarro1, Robin Passama1

  • 1LIRMM, Univ Montpellier, CNRS, Montpellier, France.

PloS one
|October 11, 2023
PubMed
概括

使用先进的CoBots进行物理人机协作,在高负载任务中显著降低了工人的肌肉精力. 这项研究表明,机器人与人类有活力的协同作用,增强工业流程和工人福祉.

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Last Updated: Jun 26, 2026

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人与计算机的交互
  • 人体工程学就是人体工程学.

背景情况:

  • 协作机器人 (CoBots) 在工业环境中越来越多地使用.
  • 目前的CoBots主要提供工作空间共享或非接触式协作.
  • 在高负载任务中的实体协作为增强工人支持提供了重大机会.

研究的目的:

  • 调查机器人可以在多大程度上协助工人在物理人机协作 (pHRC) 任务中的工人.
  • 评估物理机器人辅助对工人的生物力学和劳动力的影响.
  • 开发方法来评估机器人的可靠性和协同作用的相互作用在协作场景.

主要方法:

  • 组建了一个涉及工业用户,人体工程学家,生物力学家和机器人学家的跨学科团队.
  • 11名参与者完成了一项重复的工业任务,无论是有机器人协助还是没有机器人协助.
  • 对生物机械活动进行了监测,对参与者和工业工人进行了可用性/可接受性调查.

主要成果:

  • 波特文的方法表明,在机器人协助下,参与者的肌肉努力大幅减少.
  • 开发了一种用于测量协作环境中的机器人可靠性和可重现性的新方法.
  • 工人的努力和机器人的功率输出被发现是有活力的协同作用.
  • 增加员工经验将重点从基本功能转移到细微的绩效期望.

结论:

  • 物理人机协作对于降低高负载任务中的工人压力是非常有益的.
  • 开发的方法为机器人可靠性和人机协同作用提供了新的见解.
  • 参与者和工业工人都表达了与机器人合作的意愿和感知的有用性.