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

Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
Feedback control systems01:26

Feedback control systems

Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Root-Locus Method01:19

Root-Locus Method

A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block diagram,...

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

Emergent and controllable behaviors of Janus swarmalator collectives.

Nature communications·2026
Same author

A widespread animal communication tempo may resonate with the receiver's brain.

PLoS biology·2026
Same author

Cooperation by non-kin during birth underpins sperm whale social complexity.

Science (New York, N.Y.)·2026
Same author

Tracking Tool for Fiddler Crabs in Natural Settings to Promote a Model Organism for Synchrony.

Annals of the New York Academy of Sciences·2026
Same author

Modeling the Evolution of Collective Synchrony.

Annals of the New York Academy of Sciences·2026
Same author

A general soft robotic controller inspired by neuronal structural and plastic synapses that adapts to diverse arms, tasks, and perturbations.

Science advances·2026
Same journal

DNA origami snaps into place.

Science robotics·2026
Same journal

A high-endurance DNA origami snap-through switch for functional nanoscale control.

Science robotics·2026
Same journal

Learning flight navigation like a honey bee.

Science robotics·2026
Same journal

Is your robot vacuum cleaner spying on you?

Science robotics·2026
Same journal

Do people feel safe in a robot's presence?

Science robotics·2026
Same journal

Stop chasing identical outcomes in HRI replication: Learn from the differences.

Science robotics·2026
查看所有相关文章

相关实验视频

Updated: Jun 18, 2026

Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish
14:03

Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish

Published on: December 5, 2013

11.0K

逆向工程控制法用于斑马鱼中使用虚拟现实学习的控制法.

Liang Li1,2,3,4, Máté Nagy1,2,3,5,6, Guy Amichay1,2,3,7,8,9

  • 1Department of Collective Behaviour, Max Planck Institute of Animal Behavior, 78464 Konstanz, Germany.

Science robotics
|April 30, 2025
PubMed
概括
此摘要是机器生成的。

研究人员利用虚拟现实逆向设计了斑马鱼的学龄行为,发现了一个简单的控制规律,称为BioPD. 这种进化的社会追求机制显示出优化自动驾驶汽车导航的前景.

更多相关视频

Ablation of a Neuronal Population Using a Two-photon Laser and Its Assessment Using Calcium Imaging and Behavioral Recording in Zebrafish Larvae
10:29

Ablation of a Neuronal Population Using a Two-photon Laser and Its Assessment Using Calcium Imaging and Behavioral Recording in Zebrafish Larvae

Published on: June 2, 2018

8.7K
Author Spotlight: High-Resolution 4D Light-Sheet Imaging and Virtual Reality in Zebrafish for Single-Cell Analysis of Heart Function
07:07

Author Spotlight: High-Resolution 4D Light-Sheet Imaging and Virtual Reality in Zebrafish for Single-Cell Analysis of Heart Function

Published on: January 5, 2024

1.1K

相关实验视频

Last Updated: Jun 18, 2026

Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish
14:03

Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish

Published on: December 5, 2013

11.0K
Ablation of a Neuronal Population Using a Two-photon Laser and Its Assessment Using Calcium Imaging and Behavioral Recording in Zebrafish Larvae
10:29

Ablation of a Neuronal Population Using a Two-photon Laser and Its Assessment Using Calcium Imaging and Behavioral Recording in Zebrafish Larvae

Published on: June 2, 2018

8.7K
Author Spotlight: High-Resolution 4D Light-Sheet Imaging and Virtual Reality in Zebrafish for Single-Cell Analysis of Heart Function
07:07

Author Spotlight: High-Resolution 4D Light-Sheet Imaging and Virtual Reality in Zebrafish for Single-Cell Analysis of Heart Function

Published on: January 5, 2024

1.1K

科学领域:

  • 动物行为 动物行为
  • 机器人技术 机器人技术 机器人技术
  • 神经科学是一个神经科学.

背景情况:

  • 了解生物系统中的集体行为至关重要.
  • 量化社会互动是识别社会赤字的关键.
  • 斑马鱼 (Danio rerio) 是研究社会行为的模型生物.

研究的目的:

  • 在斑马鱼上学期间逆向设计社会反应的感官运动控制.
  • 用虚拟现实在现场测试社会互动模型.
  • 评估自主系统的进化控制法的潜力.

主要方法:

  • 利用虚拟现实技术与虚拟机器人鱼一起研究幼斑马鱼.
  • 开发了一个网络系统,允许真正的鱼在共享的虚拟环境中互动.
  • 应用了图灵测试和可扩展性测试来验证衍生控制定律.

主要成果:

  • 确定了以单个和多个目标为导向的追求作为社会反应的关键特征.
  • 证明斑马鱼的行为是通过比例衍生控制定律 (BioPD) 准确地建模的.
  • 表明BioPD定律对不完整的感官输入具有强度,并且基于自我中心的位置信息.

结论:

  • 进化的控制法"BioPD"充分解释了斑马鱼社会追求行为的关键特征.
  • 生物DP法为社会互动提供了一个简单而有效的模型.
  • 这种进化的控制规律证明了在各种领域优化自动驾驶汽车追逐性能的潜力.