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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

395
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...
395
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

319
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...
319
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

564
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
564
Position Vectors01:29

Position Vectors

855
A position vector is a fundamental concept in mathematics that helps determine the position of one point with respect to another point in space. It is a vector that describes the direction and distance between two points. Position vectors are highly useful in the field of math and science, as they help represent spatial relationships and make calculations easier.
For instance, we want to locate a point P(x, y, z) relative to the origin of coordinates O. In that case, we can define a position...
855
Plane Potential Flows01:23

Plane Potential Flows

379
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform...
379
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

660
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...
660

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相关实验视频

Updated: Jun 22, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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研究基于改进的RRT*算法和人工潜力场方法的自动驾驶汽车路径规划算法.

Xiang Li1, Gang Li1, Zijian Bian1

  • 1School of Automobile and Traffic Engineering, Liaoning University of Technology, Jinzhou 121001, China.

Sensors (Basel, Switzerland)
|June 27, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种用于自动驾驶汽车路径规划的新型融合算法,增强了RRT*算法和人工潜力场方法. 新方法有效地产生更平滑,更准确和更稳定的路径,克服现有方法的局限性.

关键词:
在RRT*算法中使用RRT*算法.人工潜力场方法的人工潜力场方法.自动驾驶汽车是一种自动驾驶汽车.曲线的曲率是因为融合算法 融合算法路径规划路径规划路径规划

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相关实验视频

Last Updated: Jun 22, 2025

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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
  • 自主系统 自主系统

背景情况:

  • 自动驾驶汽车的传统RRT*算法存在随机性,低效率和较差的局部避障能力问题.
  • 人工潜力场 (APF) 方法往往导致局部最佳,无法达到的目标,不适合全球路径规划.
  • 现有的路径规划方法与未知的障碍和复杂的场景作斗争,需要改进算法.

研究的目的:

  • 开发一个融合算法,将改进的RRT*和APF结合起来,用于强大的自动驾驶汽车路径规划.
  • 解决RRT*的局限性,包括随机性,时间消耗和冗余节点.
  • 克服APF的缺点,如局部最佳性,无法实现的目标和全球场景不适用.

主要方法:

  • 改进的RRT*结合了人工潜力场概念,概率抽样优化和基于道路曲率的适应性步骤大小.
  • 路径后处理完善全球路径,减少冗余节点并提高采样效率.
  • 增强的APF包括避障限制,道路边界排斥,优化潜在功能和U形障碍物的虚拟重力点.

主要成果:

  • 融合算法成功地使用改进的RRT*计划全球路径,并使用增强的APF导航本地障碍.
  • 路径平滑确保满足动力学约束,从而产生稳定和准确的轨迹.
  • 跨多种道路场景的模拟演示了算法的快速生成光滑,合适路径的能力.

结论:

  • 拟议的融合算法显著改善了自动驾驶汽车的路径规划.
  • 它有效地克服了个别RRT*和APF方法的局限性,提供了更高的安全性和效率.
  • 该方法为现实世界自动驾驶场景提供了稳定,准确和可适应的解决方案.