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相关概念视频

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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一个对称的受灵感的软爬行机器人,基于手势控制.

Jiabiao Li1, Ruiheng Liu1,2, Tianyu Zhang1

  • 1Key Laboratory of Mechanism Theory and Equipment Design, Ministry of Education, Tianjin University, Tianjin 300072, China.

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概括

这项研究介绍了一种可以通过手势控制的新型软爬行机器人. 这种自然的人与计算机的交互增强了软机器人的操作性和适应性,使其适应各种运动.

关键词:
在BP神经网络中,神经网络跳跃运动是跳跃运动.这就是为什么TPU TPU.这是手势识别,是手势识别.软机器人的软机器人

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人与计算机的交互
  • 人工智能的人工智能

背景情况:

  • 软机器人提供了增强的适应性,但往往缺乏直观的控制接口.
  • 自然的人机交互方法对于提高机器人系统的可用性至关重要.

研究的目的:

  • 开发一个柔软的爬行机器人,具有直观的基于手势的控制.
  • 将手势识别集成为软机器人运动的实时控制.
  • 探索软机器人执行器的成本效益高的材料的使用.

主要方法:

  • 使用的跳动传感器用于手势数据采集.
  • 采用虚幻引擎用于手势识别,用于静态的基于值的方法和用于动态手势的反向传播神经网络.
  • 开发了一个软机器人,使用热塑性聚氨 (TPU) 薄膜执行器,通过Arduino系统和压力开关电路控制.

主要成果:

  • 通过手势成功演示了软机器人的线性和定向运动的实时控制.
  • 验证了静态和动态手势识别模型的准确性.
  • 证实了机器人在手势指挥下执行各种运动的能力.

结论:

  • 基于手势的控制为软机器人提供了一个自然而有效的接口.
  • 拟议的系统提高了软爬行机器人的可操作性和适应性.
  • 这种方法突出了软机器人应用中直观的人机交互的潜力.