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相关概念视频

One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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

Relative Motion Analysis using Rotating Axes-Problem Solving

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...
Trapezoidal Rule01:26

Trapezoidal Rule

Estimating the distance traveled by a vehicle using its recorded velocity over time is a common problem in physics and engineering. When velocity data is available at discrete time intervals, rather than as a continuous function, numerical integration methods such as the trapezoidal rule are often employed to approximate the total displacement.The trapezoidal rule works by dividing the total time interval into several equal segments. Within each segment, the recorded velocities at the endpoints...
Orthogonal Trajectories01:26

Orthogonal Trajectories

Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
Vector Functions and Motion: Problem Solving01:30

Vector Functions and Motion: Problem Solving

Accurate position tracking is fundamental to the safe and effective operation of unmanned aerial vehicles (UAVs), particularly during precision maneuvers near complex structures. In this scenario, a drone is programmed to perform a high-precision inspection of a vertical structure, starting at position ((x, y, z) = (3, 0, 0)), with an initial velocity oriented in the positive z-direction. The trajectory of the drone is governed by a time-dependent acceleration function a(t), which is predefined...

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相关实验视频

Updated: Jun 17, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

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Published on: February 25, 2013

13.5K

增量机器人的安全轨迹规划基于一个时空变量-步骤大小A*算法.

Haonan Hu1, Xin Wen1, Jiazun Hu1

  • 1School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, China.

Sensors (Basel, Switzerland)
|June 19, 2024
PubMed
概括

本研究介绍了一种新的轨迹规划方法,用于移动机器人使用时空A*算法. 该方法确保在复杂的多机器人环境中安全,高效地寻找路径.

关键词:
避免碰撞,避免碰撞.增量机器人增量机器人移动机器人 移动机器人多代理机器人系统多代理机器人系统轨道规划 轨道规划 轨道规划

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Operation of the Collaborative Composite Manufacturing CCM System

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Last Updated: Jun 17, 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:

  • 移动机器人在复杂环境中,安全的轨道规划至关重要.
  • 现有的方法与多机器人协调和动态场景作斗争.

研究的目的:

  • 为增量型,轮式移动机器人开发一种高效,安全的轨迹规划方法.
  • 为了应对涉及多个机器人的复杂运动场景中的挑战.

主要方法:

  • 一个时空变量步骤大小的A*算法用于避免碰撞的轨迹搜索.
  • 可变时间步骤以确保目标速度完成.
  • B-spline 曲线实例化和数值优化,用于平滑的轨迹生成.

主要成果:

  • 拟议的方法在模拟中显示出更高的适用性和效率.
  • 在复杂,动态,多机器人场景中成功的轨迹规划.

结论:

  • 时空变量阶段大小的A*算法为增量机器人轨迹规划提供了优质的解决方案.
  • 该方法在复杂的操作环境中提高了安全性和效率.