Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

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

Three-Dimensional Force System:Problem Solving

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...
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...
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
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...
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...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Phase Engineering of Iridium Oxides Enables Direct Coupling of Proton Exchange Membrane Water Electrolysis With Intermittent Electrical Energy.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Corrigendum to "Xanthoxylin alleviates dextran sulfate sodium (DSS)-induced colitis by targeting macrophage infiltration via the tumor necrosis factor (TNF)/nuclear factor-kappa B (NF-κB) signaling pathway" [Phytomedicine 153:157971 (2026) PMID: 41720014].

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

AdaptCMVC++: Robust and Flexible Adaptation to Incremental Views in Continual Multi-view Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Rapid and real-time detection of trace BPA based on solution-gated graphene field-effect transistor by cerium-doped ZIF-8 carbon material.

Talanta·2026
Same author

A Multi-Regional Single-nucleus Atlas of the Huntington's Disease Brain.

Scientific data·2026
Same author

Machine learning-aided 3D-AFM for identification of spatial heterogeneity in interfacial solvation structures.

Nanoscale·2026

相关实验视频

Updated: Jul 9, 2026

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

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

Published on: May 10, 2012

12.7K

基于游戏的近似最佳动作计划,用于安全的人群交互.

Man Li, Jiahu Qin, Jiacheng Li

    IEEE transactions on cybernetics
    |January 1, 2024
    PubMed
    概括

    这项研究引入了一种新的游戏理论方法,用于安全的人类群交互,确保机器人自主调整不安全的命令和障碍,以实现强大的合作.

    科学领域:

    • 机器人技术 机器人技术 机器人技术
    • 控制理论 控制理论
    • 游戏理论 游戏理论

    背景情况:

    • 人群交互的安全性至关重要和具有挑战性.
    • 现有的方法需要高的实时计算来实现受约束的优化.
    • 在人机系统中需要强大和自主安全解决方案.

    研究的目的:

    • 开发一个安全和强大的框架,用于人群交互.
    • 解决当前安全方法的实时局限性.
    • 为了实现对不安全的人类指挥的自主轨道修改.

    主要方法:

    • 在整个时间域中用Stackelberg-Nash游戏来制定这个问题.
    • 为追随机器人设计最佳响应控制器 (纳什平衡).
    • 开发一个类似于Lyapunov的控制屏障功能,以确保领导者的安全,以及一个基于学习的控制器,用于形成跟踪.

    主要成果:

    • 机器人群成功地保持所需的阵列,同时跟踪人类的命令.
    • 控制器自主修改轨迹,以确保对不安全命令的安全.
    • 即使存在动态障碍,也保持安全,通过模拟和实验验证.

    更多相关视频

    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
    06:28

    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

    Published on: August 26, 2018

    6.0K
    The HoneyComb Paradigm for Research on Collective Human Behavior
    06:48

    The HoneyComb Paradigm for Research on Collective Human Behavior

    Published on: January 19, 2019

    9.4K

    相关实验视频

    Last Updated: Jul 9, 2026

    MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
    09:46

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

    Published on: May 10, 2012

    12.7K
    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
    06:28

    A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

    Published on: August 26, 2018

    6.0K
    The HoneyComb Paradigm for Research on Collective Human Behavior
    06:48

    The HoneyComb Paradigm for Research on Collective Human Behavior

    Published on: January 19, 2019

    9.4K

    结论:

    • 拟议的斯塔克尔伯格-纳什游戏方法有效地确保了人群交互中的安全.
    • 该方法通过优化整个时间域来克服实时约束.
    • 该系统表现出强大的合作行为和自主安全调整.