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相关概念视频

Kinematic Equations - III01:18

Kinematic Equations - III

7.7K
The first two kinematic equations have time as a variable, but the third kinematic equation is independent of time. This equation expresses final velocity as a function of the acceleration and distance over which it acts. The fourth kinematic equation does not have an acceleration term and provides the final position of the object at time t in terms of the initial and final velocities. This equation is useful when the value of the constant acceleration is unknown.
Using the kinematic equations,...
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Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

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When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
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Kinematic Equations - II01:17

Kinematic Equations - II

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The second kinematic equation expresses the final position of an object in terms of its initial position, the distance traveled with the initial constant velocity, and the distance traveled due to a change in velocity. Similar to the first kinematic equation, this equation is also only valid when the acceleration is constant throughout the motion of an object.
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...
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Kinematic Equations - I01:26

Kinematic Equations - I

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When an object moves with constant acceleration, the velocity of the object changes at a constant rate throughout the motion. The kinematic equations of motions are derived for such cases where the acceleration of the object is constant. The first kinematic equation gives an insight into the relationship between velocity, acceleration, and time. We can see, for example:
10.6K
Kinematic Equations for Rotation01:30

Kinematic Equations for Rotation

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In mechanics, when one observes a rigid body in rotational motion with constant angular acceleration, it is possible to establish equations for its rotational kinematics. This process resembles how linear kinematics are dealt with in simpler motion studies.
For instance, imagine a point A on a rigid body engaged in circular motion. The translational velocity of this particular point can be calculated by taking the time derivatives of the displacement equation, which essentially measures the...
332
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

225
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 11, 2025

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
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Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments

Published on: March 28, 2018

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基于运动动力学来预测物体属性.

Lena Kopnarski1, Laura Lippert2, Julian Rudisch1

  • 1Department of Neuromotor Behavior and Exercise, Institute of Sport and Exercise Sciences, University of Münster, Wilhelm-Schickard-Str. 8, 48149, Münster, Germany.

Brain informatics
|November 5, 2023
PubMed
概括
此摘要是机器生成的。

机器人现在可以通过分析手臂运动来估计物体的重量,减少对先前学习的依赖,以抓住各种物体. 这种方法准确地预测了运动早期的重量,改善了机器人操纵.

关键词:
手臂运动,手臂运动.分类 分类 分类 分类.动力学是动力学.对象的替换对象的替换模式识别 模式识别 模式识别预测 预测 预测

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Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

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相关实验视频

Last Updated: Jul 11, 2025

Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments
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Kinematic Analysis Using 3D Motion Capture of Drinking Task in People With and Without Upper-extremity Impairments

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Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis
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Oscillation and Reaction Board Techniques for Estimating Inertial Properties of a Below-knee Prosthesis

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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人与计算机的交互
  • 生物力学 生物力学

背景情况:

  • 抓住和运输物体需要根据物体属性 (如重量) 调整抓地力和负载力.
  • 目前用于体重估计的方法,例如机器人图像识别,往往严重依赖于先前的学习.
  • 对于机器人来说,需要一种不那么依赖于经验的方法来处理各种各样的物体.

研究的目的:

  • 评估使用上肢动力学或物体速度配置文件预测物体的重量级的可行性.
  • 调查时间序列长度和交叉验证程序对预测准确性的影响.
  • 开发一种不太依赖于先前学习的机器人体重估计方法.

主要方法:

  • 记录了12名参与者的运动动力学,他们用不同,未知重量的物体执行了替代任务.
  • 使用光学运动跟踪系统捕捉身体上部的角度.
  • 适用于时间序列平滑/压缩和支持向量机器的离散等号变换,用于监督的重量级预测.

主要成果:

  • 在受交叉验证程序和时间序列长度影响的情况下,对象重量类的预测准确度很好.
  • 可靠的体重预测在运动的早期是可能的 (在300 ms内).
  • 拟议的方法在没有广泛的先前学习的情况下,在估计物体重量方面表现出有效性.

结论:

  • 预测物体重量级从上肢动力学在更换任务期间是可行的.
  • 该方法为机器人的传统,经验依赖的重量估计方法提供了一个有希望的替代方案.
  • 这种技术增强了机器人抓取和操纵各种物体的能力.