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相关概念视频

Hierarchy of Motor Control01:18

Hierarchy of Motor Control

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The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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相关实验视频

Updated: May 5, 2026

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

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双手对象操纵序列的长期基态驱动生成

Haziq Razali, Yiannis Demiris

    IEEE transactions on pattern analysis and machine intelligence
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    概括
    此摘要是机器生成的。

    这项研究通过将动作分解为关键状态并增强手对象接触建模来改善双手对象操纵的长期预测. 这导致了更现实的和扩展的机器人运动合成.

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    Development of a Novel Task-oriented Rehabilitation Program using a Bimanual Exoskeleton Robotic Hand
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    相关实验视频

    Last Updated: May 5, 2026

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    科学领域:

    • 机器人技术 机器人技术 机器人技术
    • 计算机视觉 计算机视觉
    • 机器学习 机器学习

    背景情况:

    • 双手对象操纵对于辅助机器人和扩展现实至关重要.
    • 现有的方法在长期预测,精细的运动细节和现实的手对象接触方面扎.

    研究的目的:

    • 为长期预测和合成双手操纵序列开发一种新的方法.
    • 为了克服预测持续时间,精细运动表示和手对象接触现实主义的局限性.

    主要方法:

    • 根据关键状态将长时间的动作序列分解为更短的子序列.
    • 使用运动字典来存储和生成细周期运动的代表动态.
    • 采用神经网络对象姿势预测和生成模型的3D手握,以确保接触.

    主要成果:

    • 显著提高了长期预测的准确性,缓解了长期持续时间的退化.
    • 通过将它们视为原始而不是平均它们来保存细微的周期性运动.
    • 在手对象交互中增强现实主义,防止对象看起来漂浮.

    结论:

    • 拟议的方法提供了一个可靠的解决方案,用于生成现实的,长期的双手操作序列.
    • 这一进步对辅助机器人和虚拟/增强现实环境中的应用有着重大影响.