Jove
Visualize
联系我们

相关概念视频

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.7K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K
Self-Schemas02:16

Self-Schemas

31.2K
In general, a schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
31.2K
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

519
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...
519
Nonconscious Mimicry01:13

Nonconscious Mimicry

4.6K
Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
4.6K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.3K
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...
4.3K
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

5.5K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
5.5K

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

Effects of object motion on visual acuity in honeybees.

The Journal of experimental biology·2026
Same author

Machine teaching in Swarm Metaverse under different levels of autonomy.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2025
Same author

The road forward with swarm systems.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2025
Same author

Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving.

Sensors (Basel, Switzerland)·2023
Same author

Trust Mediating Reliability-Reliance Relationship in Supervisory Control of Human-Swarm Interactions.

Human factors·2019
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

相关实验视频

Updated: Jul 23, 2025

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

用数字双胞胎实现多层次自主化的Swarm Metaverse.

Hung Nguyen1, Aya Hussein1, Matthew A Garratt1

  • 1School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, Australia.

Sensors (Basel, Switzerland)
|July 11, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个元宇宙来控制机器人群,简化了人类的互动. 该系统能够有效地控制具有自适应自主性的无人地面车辆 (UGV),从而提高任务性能.

关键词:
数字双胞胎数字双胞胎是什么意思用手势进行沟通.人类与群体的互动.自主性的水平.他们的牧羊工作.蜂群的元宇宙是什么?群众机器人工程 群众机器人工程一个共生模拟.

更多相关视频

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.0K
The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.1K

相关实验视频

Last Updated: Jul 23, 2025

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
Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.0K
The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.1K

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
  • 变态技术 (Metaverse) 是一种技术.

背景情况:

  • 机器人群需要复杂的空间协调来完成复杂的任务.
  • 可扩展的人类控制对于调整群体行为与动态系统需求至关重要.
  • 现有的人群交互技术往往缺乏现实世界的可扩展性.

研究的目的:

  • 解决现实世界可扩展控制机器人群的研究缺口.
  • 为简化和有效的人机机器人群交互提出一个元宇宙框架.
  • 引入一个适应性框架,支持群控制中的不同级别的自主性.

主要方法:

  • 开发一个元宇宙,将物理机器人群与虚拟数字双胞胎集成在一起.
  • 在元宇宙中实施逻辑控制代理来管理子群.
  • 一个案例研究涉及人类手势控制无人地面车辆 (UGV) 通过虚拟无人机 (UAV).

主要成果:

  • 拟议的元宇宙通过将控制抽象到虚拟代理来显著降低群控制的复杂性.
  • 人类成功地控制了一群UGV,在元宇宙中使用手势命令.
  • 任务绩效与自主程度的提高有积极的相关性.

结论:

  • 超宇宙提供了一个可行的解决方案,用于在现实世界应用中对机器人群体进行可扩展和直观的人类控制.
  • 适应性框架有效地支持不同级别的自主性,提高了群体的运营效率.
  • 这种方法通过简化人类监督来促进复杂的群体协调和管理.