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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

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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...
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相关实验视频

Updated: Apr 12, 2026

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

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

Published on: August 8, 2011

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在人机假肢交互中提高机器人的透明度,以减轻地形误识错误

I-Chieh Lee1, Ming Liu1, He Huang1

  • 1Department of Biomedical Engineering, North Carolina State University, Raleigh, NC, USA.

IEEE transactions on medical robotics and bionics
|August 29, 2025
PubMed
概括

提供对假肢膝盖运动的提前通知有助于截肢者预测变化,提高对可穿戴机器人的控制和信任. 这有助于人类与机器的协作,

科学领域:

  • 机器人技术
  • 生物力学
  • 人与计算机的交互

背景情况:

  • 人与机器人的有效合作需要清晰的沟通,
  • 由于对机器人运动变化的意识有限,
  • 需要提高假肢控制器的透明度,以提高用户的适应性和安全性.

研究的目的:

  • 通过提前通知移动方式的变化,提高假肢控制器的透明度.
  • 调查传腿截肢者 (TFA) 的机器错误通知的最佳时间.
  • 了解TFA如何弥补假膝关节的错误以及机器人腿的反应.

主要方法:

  • 五名腿部截肢者在跑步机上行走时使用设计的膝盖假肢.
  • 通过切换移动模式 (跑步机到楼梯上升) 引入了模拟地形错误识别.
  • 用户的偏好和对通知的回应通过问卷和步态分析进行了评估.

主要成果:

  • 在机器人移动模式变化前大约650毫秒的通知大大减少了机器人错误的影响.
  • TFAs补偿了错误,导致假肢膝盖错误的大小增加,但改善了平衡稳定性.
  • 加强透明度系统有助于预期调整,改善步态和安全性.
关键词:
机器人的透明度防止机器故障有机膝关节假肢骨截肢的情况

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Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

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Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
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Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

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相关实验视频

Last Updated: Apr 12, 2026

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Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

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结论:

  • 提前通知假肢的意图提高了可预测性和用户对可穿戴机器人的信心.
  • 提高透明度可以进行更好的预测控制,这对于安全有效的人机交互至关重要.
  • 这种方法证明了提高智能假肢的用户信心和性能的可行方法.