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相关概念视频

Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

571
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...
571
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

401
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...
401
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.1K
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...
4.1K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

666
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...
666
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

323
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...
323
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

487
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...
487

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相关实验视频

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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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机器人通过A*和DWA融合算法来优化避难障碍的优化.

Peiying Li1, Lingjuan Hao1, Yanjie Zhao1

  • 1Mechanical and Electrical College, Handan University, Handan, 056005, China.

PloS one
|April 29, 2024
PubMed
概括

本研究介绍了一种混合机器人路径规划算法,该算法结合了改进的A星全球规划和模糊控制的滑窗本地规划. 这种新的方法提高了移动机器人的动态避障和效率.

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
  • 控制系统 控制系统

背景情况:

  • 当前的机器人路径规划方法经常与实时要求和动态障碍回避作斗争.
  • 现有的全球或地方规划方法缺乏复杂,动态环境所需的整合.

研究的目的:

  • 开发一个混合机器人避障路径规划算法.
  • 为了提高性能,改进传统的A星和滑窗方法.

主要方法:

  • 通过完善其评估函数,子节点选择和路径平滑来优化A星算法.
  • 集成的模糊控制来增强滑动窗的当地规划方法.
  • 使用实验数据在TurtleBot3移动机器人上验证了混合算法.

主要成果:

  • 混合算法成功导航动态障碍,并准确地到达目标点.
  • 与传统方法相比,路径长度减少了9.6%,规划时间减少了29%.
  • 在机器人的平均速度上大约增加了26.7%.

结论:

  • 拟议的混合算法显著改善了动态避障,规划效率和模型适应性.

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  • 在实际应用中为机器人路径规划和障碍回避优化提供了宝贵的参考.