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相关概念视频

Dot Product: Problem Solving01:21

Dot Product: Problem Solving

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The dot product is a powerful tool in problem-solving involving vectors, given that the dot product of two vectors is the product of their magnitudes and the cosine of the angle between them measured anti-clockwise. Solving problems involving the dot product requires understanding its properties and developing a step-by-step process to solve them. Here are the main steps to follow when solving any general problem involving the dot product:
Identify the problem: Start by reading the problem and...
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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.
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Planar Rigid-Body Motion01:22

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Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

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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.
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相关实验视频

Updated: Apr 25, 2026

Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
10:32

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Published on: August 15, 2016

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一个新的RRT*-Connect算法用于路径规划,用于机器人手臂避免碰撞.

Miaolong Cao1, Huawei Mao2, Xiaohui Tang3

  • 1School of Mechanical and Energy Engineering, Zhejiang University of Science and Technology, Hangzhou, 310023, China. cml_q@163.com.

Scientific reports
|January 22, 2025
PubMed
概括
此摘要是机器生成的。

改进的RRT*-Connect算法增强了机器人手臂路径规划,以避免障碍. 这种优化的算法减少了运行时间和路径长度,确保了高效和安全的导航.

关键词:
路径规划 路径规划 路径规划这就是RRT算法.这是一个机器人手臂.采样式算法基于采样的算法.

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相关实验视频

Last Updated: Apr 25, 2026

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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
  • 运动规划 运动规划

背景情况:

  • 原来的RRT*-Connect算法在路径规划效率方面存在局限性.
  • 机器人臂导航需要最佳的避障策略.

研究的目的:

  • 介绍一个原始的RRT*-Connect算法用于机器人手臂避障路径规划.
  • 通过各种优化技术来提高路径规划效率和最佳性.

主要方法:

  • 实施了目标偏差和圆空间采样,以改进采样.
  • 修订了成本函数,并纳入了人工潜力场,用于适应性步骤大小的梯度下降.
  • 利用细分贝济耶曲线来实现更顺的轨迹生成.

主要成果:

  • 模拟显示,平均运行时间减少了19.39%.
  • 与原始算法相比,模拟显示平均路径长度减少了5%.
  • 实验验证证了算法在机器人手臂上的有效性.

结论:

  • 增强的RRT*-Connect算法提供了最佳的避障路径规划.
  • 算法始终找到更短的路径,同时有效地避免障碍.
  • 建议的策略成功地解决了实际机器人应用的原始算法的局限性.