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相关概念视频

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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Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is 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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Centroid of a Body: Problem Solving01:03

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The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
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Relative Motion Analysis using Rotating Axes01:25

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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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Collisions in Multiple Dimensions: Introduction01:05

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It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
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Updated: Jul 26, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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一个强大的合作本地化算法,基于多机器人系统的共变交叉方法.

Miao Wang1,2, Qingshan Liu2,3

  • 1School of Cyber Science and Engineering, Southeast University, Nanjing, China.

PeerJ. Computer science
|June 22, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种新的合作本地化算法,用于多机器人系统. 它使用相对机器人测量和基于粒子的方法提高了准确性,有效地处理异常数据.

关键词:
合作社本地化 合作社本地化协方差交叉点的交叉点库尔巴克莱布勒的分歧.多机器人系统多机器人系统强大的本地化.

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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
  • 计算机科学 计算机科学

背景情况:

  • 合作本地化对于多机器人系统至关重要,特别是在减少基站通信负载时.
  • 现有的方法经常面临测量不确定性和线性化错误的挑战.

研究的目的:

  • 为多机器人系统提出一种新的合作本地化算法.
  • 通过使用机器人之间的相对测量来实现高精度定位.
  • 为了解决不确定性,避免传统方法固有的线性化错误.

主要方法:

  • 使用基于粒子的近似方法来处理机器人位置的不确定性并减轻线性化错误.
  • 协差交叉被用来融合不同机器人的初步估计,确保融合协差的最小上限.
  • 库尔巴克-莱布勒分歧用于检测和拒绝异常测量,防止它们对定位准确性的负面影响.

主要成果:

  • 与模拟中的其他三种算法相比,拟议的算法显示出更高的本地化准确性.
  • 该方法有效地处理异常测量,提高了合作本地化系统的稳定性.
  • 模拟验证了算法在复杂的多机器人场景中的性能.

结论:

  • 新的合作本地化算法为多机器人系统提供了更高的准确性和稳定性.
  • 基于粒子的近似和库尔巴克-莱布勒分歧的整合为处理测量不确定性和异常提供了有效的解决方案.
  • 这种方法对于需要减少通信负载和高精度定位的应用特别有利.