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相关概念视频

Randomized Experiments01:13

Randomized Experiments

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
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Direct Motor Pathways01:11

Direct Motor Pathways

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The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and...
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Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

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Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
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Survival Tree01:19

Survival Tree

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
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Indirect Motor Pathways01:22

Indirect Motor Pathways

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The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
The vestibulospinal tract originates in the vestibular nuclei of the brainstem. The vestibular system detects changes in...
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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.
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相关实验视频

Updated: Sep 18, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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基于改进的快速探索随机树的自动引导车辆 (AGV) 路径优化方法.

Zhigang Ren1,2, Anjiang Cai1, Feilong Xu2

  • 1School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an, China.

PeerJ. Computer science
|June 26, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种改进的快速探索随机树 (RRT) 算法,用于自动引导车辆 (AGV) 路径规划. 增强的RRT算法显著减少了路径长度和规划时间,为实际的AGV应用提供了卓越的性能.

关键词:
适应性步骤大小适应性步骤大小快速搜索最近的邻居搜索路径规划 路径规划 路径规划快速探索的随机树.

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相关实验视频

Last Updated: Sep 18, 2025

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科学领域:

  • 机器人和自动化机器人与自动化
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 传统的快速探索随机树 (RRT) 算法在计算效率,融合速度,路径曲率和自动引导车辆 (AGV) 路径规划的本地最佳性方面面临挑战.
  • 现有的RRT变体经常在动态环境中努力平衡规划质量与计算成本.

研究的目的:

  • 通过解决效率,收和路径质量方面的局限性,提高RRT算法用于AGV路径规划的性能.
  • 开发一个改进的RRT算法,集成自适应式步骤大小优化和K维树 (KD-Tree) 以实现更快,更流的路径生成.

主要方法:

  • 实施适应性步骤大小优化策略,以动态调整搜索参数,提高节点选择和规划效率.
  • 整合K维树 (KD-Tree) 以加速搜索最近邻居,显著减少路径规划计算时间.
  • 应用立方线间波来平滑生成的最佳路径,提高整体路径质量.

主要成果:

  • 与传统的RRT,RRT*和Informed-RRT*相比,改进的RRT算法显示出更高的性能.
  • 实现了平均路径长度 (164.33 m) 和平均搜索时间 (3.3 s) 的显著减少.
  • 观察到改善了路径流性和规划质量,使得该算法更适合于现实世界的AGV部署.

结论:

  • 提议的改进的RRT算法有效地克服了AGV路径规划的传统RRT方法的局限性.
  • 适应性步骤大小优化,KD树搜索和路径平滑的组合为实际的AGV导航提供了强大而高效的解决方案.
  • 该算法的提高效率和路径质量使其成为现实世界自动驾驶汽车系统的有希望的方法.