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相关概念视频

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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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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Two-Dimensional Force System: Problem Solving01:29

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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...
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
645
Absolute Motion Analysis- General Plane Motion01:24

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Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
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相关实验视频

Updated: Jul 1, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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研讨会 AGV路径规划基于改进的 A* 算法.

Na Liu1, Chiyue Ma1, Zihang Hu1

  • 1College of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China.

Mathematical biosciences and engineering : MBE
|March 8, 2024
PubMed
概括
此摘要是机器生成的。

这项研究增强了数字车间中自动引导车辆 (AGV) 的A*算法,显著减少路径转和旅行时间,以提高物流效率.

关键词:
AGV AGV 在线观看贝齐尔曲线是一个贝齐尔曲线.改进了A*算法路径优化路径优化路径规划路径规划路径规划

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Last Updated: Jul 1, 2025

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科学领域:

  • 机器人和自动化 机器人和自动化
  • 人工智能的人工智能
  • 运营研究 运营研究

背景情况:

  • 自动引导车辆 (AGV) 对于数字化生产车间的物流至关重要.
  • 传统的A*算法面临的挑战是过度的路径转和长时间的运输时间.
  • 优化AGV路径规划对于提高车间效率至关重要.

研究的目的:

  • 在数字研讨会中提出改进的A*算法用于AGV路径规划.
  • 解决过度转和延长过境时间的问题.
  • 提高 AGV 的物流路径的整体质量.

主要方法:

  • 对A*算法的内部改进:增强节点搜索,对角距离启发式和转向权重.
  • 外部优化:改进了前向搜索和贝塞尔曲线方法,应用于A*输出路径.
  • 与六种传统路径规划方法进行比较分析.

主要成果:

  • 内部改进的A*算法超过了六种常规方法.
  • 完全改进的A*算法将转角度减少约69%,路径长度减少约10%.
  • 与传统的A*算法相比,AGV运行时间减少了12秒,提高了物流效率.

结论:

  • 提议的增强的A*算法显著提高了数字车间的AGV路径质量.
  • 该方法有效地减少了路径转和长度,从而缩短了旅行时间.
  • 这种优化提高了整体物流效率,并降低了自动化生产环境中的运营成本.