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相关概念视频

Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

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Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
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Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

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A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
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Three-Dimensional Force System01:30

Three-Dimensional Force System

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In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
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Mechanical Systems01:22

Mechanical Systems

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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...
289
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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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...
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Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

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Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
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Updated: Sep 12, 2025

Fabrication of Soft Pneumatic Network Actuators with Oblique Chambers
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多功能物理储存器计算在软张密度机器人中的计算.

Ryo Terajima1, Katsuma Inoue1, Kohei Nakajima1,2

  • 1School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.

Chaos (Woodbury, N.Y.)
|August 4, 2025
PubMed
概括

物理储库计算 (PRC) 使用软机器人动态进行信息处理. 这项研究表明,时分性机器人可以学习多种行为,并通过体内AI中的"未训练的吸引器"来揭示内在属性.

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 计算神经科学是一种神经科学.

背景情况:

  • 物理储库计算 (PRC) 利用物理系统动态进行信息处理.
  • 软机器人,就像时分机器人一样,具有可用于计算和运动控制的非线性动力学.
  • 嵌入式人工智能旨在将物理系统与智能控制相结合.

研究的目的:

  • 扩展PRC用于控制十分位机器人中的多种行为.
  • 研究机器人环境系统的新兴特性和动态.
  • 探索中国在理解体内认知方面的潜力.

主要方法:

  • 模拟研究一个与环境交互的十位性机器人.
  • 物理储库计算原理用于行为嵌入的应用.
  • 多稳定动态系统的状态空间的吸引力分析.

主要成果:

  • 密度机器人系统展示了控制和嵌入多种行为的能力.
  • 机器人环境系统表现出多稳定的动态,汇聚到不同的吸引力.
  • 发现了"未经训练的吸引器",反映了超越训练数据的机器人和环境内在特性.

结论:

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  • 在软机器人中,PRC为控制软机器人的复杂行为提供了一个新的框架.
  • 未经训练的吸引器提供了关于嵌入式系统固有的能力和结构的见解.
  • 这种方法对推进体现的人工智能和理解认知有重大影响.