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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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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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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...
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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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Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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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...
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Kinematic Equations for Rotation01:30

Kinematic Equations for Rotation

935
In mechanics, when one observes a rigid body in rotational motion with constant angular acceleration, it is possible to establish equations for its rotational kinematics. This process resembles how linear kinematics are dealt with in simpler motion studies.
For instance, imagine a point A on a rigid body engaged in circular motion. The translational velocity of this particular point can be calculated by taking the time derivatives of the displacement equation, which essentially measures the...
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Open and closed-loop control systems01:17

Open and closed-loop control systems

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Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
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相关实验视频

Updated: Feb 28, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

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强大的基于图像的视觉伺服器形成控制,用于通过强化学习无通信的四旋翼.

Xinning Yi, Hao Liu, Haibin Duan

    IEEE transactions on neural networks and learning systems
    |February 26, 2026
    PubMed
    概括
    此摘要是机器生成的。

    这项研究使用强化学习来在GPS拒绝的环境中进行强大的四旋翼形成控制. 该方法可以在没有通信的情况下实现稳定的领导者-追随者动态,增强自主导航.

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    Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
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    相关实验视频

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    Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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    Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
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    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
    • 控制系统 控制系统

    背景情况:

    • 在GPS拒绝和通信降级的环境中,四旋翼形成控制具有挑战性.
    • 现有的方法通常依赖于车辆间的通信或精确的模型.

    研究的目的:

    • 开发一个强大的基于图像的视觉伺服 (IBVS) 形成控制,用于使用强化学习 (RL) 的四旋翼.
    • 为了使领导者和追随者能够控制阵型,而无需依赖GNSS或车辆间通信.

    主要方法:

    • 利用了政策之外的RL算法,以实现强大的视觉服务和态度控制.
    • 实现了领导观察员来估计领导四旋翼的状态.
    • 采用虚拟摄像机技术和基于球体的图像时刻来进行特征跟踪.

    主要成果:

    • 尽管存在未知的不确定性和外部干扰,但取得了强大的领导和追随者组成控制.
    • 在没有直接通信的情况下,证明了领先的四旋翼的有效状态估计.
    • 通过理论分析和模拟验证了控制方案的有效性.

    结论:

    • 拟议的基于RL的IBVS形成控制对四旋翼在具有挑战性的环境中有效.
    • 该方法为无GNSS或通信的自主组成飞行提供了强大的解决方案.
    • 这项研究在复杂的操作环境中推进了自主多机器人系统的发展.