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相关概念视频

One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

519
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
519
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

425
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
425
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

490
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
490

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相关实验视频

Updated: Jul 27, 2025

Movement Retraining using Real-time Feedback of Performance
08:16

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Published on: January 17, 2013

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比较端效应器位置和关节角度反,用于在线机器人四肢跟踪.

Mattia Pinardi1, Alessia Noccaro2, Luigi Raiano1

  • 1NEXT: Neurophysiology and Neuroengineering of Human-Technology Interaction Research Unit, Università Campus Bio-Medico di Roma, Rome, Italy.

PloS one
|June 8, 2023
PubMed
概括

补充的触觉反有助于机器人手臂的控制. 任务空间反提高了准确性,而联合空间反显示了人类运动增强的更大的长期学习潜力.

科学领域:

  • 人与机器人的交互
  • 触觉反系统是一种触觉反系统.
  • 机器人和控制机器人技术

背景情况:

  • 体感增强了自然的身体控制.
  • 通过触觉反来补充视觉可以提高机器人手臂控制能力.
  • 机器人四肢反的最佳参考框架 (外部与内在) 是未知的.

研究的目的:

  • 为了比较两个补充触觉反类型控制机器人手臂的有效性.
  • 为了确定任务空间 (终端效应器坐标) 或联合空间 (联合角度) 的反是否优于机器人手臂控制.

主要方法:

  • 被蒙上眼睛的参与者在他们的腿上获得了振动反.
  • 测试了两个反条件:任务空间和联合空间.
  • 参与者接受了1.5小时的训练,使用两种反类型在2度自由度 (DoFs) 机器人手臂配置中.

主要成果:

  • 参与者在任务空间反 (较低的位置和准错误) 中表现出明显更高的准确性.
  • 在反类型之间没有观察到控制速度 (开始延迟) 的显著差异.
  • 与任务空间反相比,联合空间反在培训期间表现出明显更高的学习指数.

结论:

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  • 任务空间反更直观,适合短时间的培训.
  • 联合空间反显示了长期改善的潜力,并且可能更适合广泛的培训.
  • 关节空间反对于诸如控制外科手术或工业制造中的超级机器人四肢等应用来说可能是有利的.