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相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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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...
126
Morphogenesis02:19

Morphogenesis

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Plant morphogenesis—the development of a plant’s form and structure—involves several overlapping developmental processes, including growth and cell differentiation. Precursor cells differentiate into specific cell types, which are organized into the tissues and organ systems that make up the functional plant.
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Neural Circuits01:25

Neural Circuits

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
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Neural Control of Respiration01:18

Neural Control of Respiration

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The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
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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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相关实验视频

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Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
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单输入式滑轮网的顺序多模式形态化

Han Bi Jeong1, Cheongsan Kim1, Anna Lee2

  • 1Department of Mechanical Engineering, Seoul National University, Seoul, South Korea.

Soft robotics
|June 19, 2023
PubMed
概括

这项研究介绍了一种新的软执行器系统,它能够使用单个空气压力输入来改变多个形状. 这项创新简化了医药和制造业中复杂的机器人应用的控制.

科学领域:

  • 机器人和材料科学 机器人和材料科学
  • 软执行器技术 软执行器技术

背景情况:

  • 软执行器对于各种领域的机动和操纵至关重要.
  • 传统的气动网络 (pneu-nets) 通常需要复杂的多输入系统来改变形状.

研究的目的:

  • 开发一个单输入气动网络系统,以实现多式模式的形状变形.
  • 为了使软执行器能够实现复杂的形状转换,并进行简化控制.

主要方法:

  • 将各种材料和几何形状的轮胎网模块结合起来.
  • 利用弹性体的应变硬化特性来控制膨胀.
  • 采用理论模型来预测和设计形状演变与压力.

主要成果:

  • 展示了一个单个输入系统,在特定的压力点实现多个不同的形状 (曲,拉伸,扭曲).
  • 通过材料和几何设计成功预测和控制形状的变形.
  • 使单个软执行器能够执行多个功能,如抓取和转动.

结论:

  • 开发的轮胎网系统为多式联动软式驱动提供了一种简化方法.
  • 这一策略增强了软机器人的功能和控制,用于各种应用.
关键词:
多式多样化的多式模式轮胎网的使用方法软执行器执行器软执行器

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  • 设计原则允许量身定制的形状变形和任务执行.