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

Short-distance Transport of Resources02:12

Short-distance Transport of Resources

14.5K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
14.5K
Distributed Loads01:19

Distributed Loads

1.1K
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
1.1K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.3K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.3K
Direct Motor Pathways01:11

Direct Motor Pathways

4.7K
The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and...
4.7K
Indirect Motor Pathways01:22

Indirect Motor Pathways

3.4K
The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
The vestibulospinal tract originates in the vestibular nuclei of the brainstem. The vestibular system detects changes in...
3.4K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

592
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
592

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

Targeting EZH2-driven cholesterol metabolic vulnerability through Napabucasin suppresses ovarian cancer metastasis.

Cell death & disease·2026
Same author

Safe formation scaling and motion planning for heterogeneous UAV-UGV teams in cluttered environments.

Scientific reports·2026
Same author

Puncture-Needle-Integrated Optical Fibers and NIR-II-Activated Thermosensitive Hydrogels for Deep-Seated Tumor Therapy.

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

RG-SAPF: A Scheme for Cooperative Escorting of Underwater Moving Target by Multi-AUV Formation Systems Based on Rigidity Graph and Safe Artificial Potential Field.

Sensors (Basel, Switzerland)·2025
Same author

Two-Photon Cerebrovascular and Thrombus Fluorescence Imaging with Micrometer-Scale Penetration Depth Using Record-Low-Dose Aggregation-Induced Emission Nanoprobes.

ACS nano·2025
Same author

General Post-Regulation Strategy of AIEgens' Photophysical Properties for Intravital Two-Photon Fluorescence Imaging.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2024

相关实验视频

Updated: May 3, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K

多AUV动态任务分配基于自组织地图神经网络和Dubins路径生成器

Xin Li1, Wenyang Gan2, Wen Pang3

  • 1College of Information Engineering, Shanghai Maritime University, 1550 Haigang Avenue, Pudong New Area, Shanghai 201306, China.

Sensors (Basel, Switzerland)
|October 16, 2024
PubMed
概括

本研究介绍了一种改进的任务分配算法,用于具有动力限制的多无人水下车辆 (多AUV) 系统. 这种新的方法确保了成功的路径规划和任务完成,即使有转向限制.

关键词:
杜宾斯之路的路径SOM神经网络是一个神经网络.动力学约束 动力学约束多个AUV多个AUV.任务分配 任务分配

更多相关视频

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

975

相关实验视频

Last Updated: May 3, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

8.9K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.0K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

975

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
  • 控制系统 控制系统

背景情况:

  • 由于动力学约束,多AUV系统在任务分配方面面临挑战.
  • 未经更新的AUV需要复杂的算法才能高效运行.
  • 由于障碍物或车辆限制,可能会出现轨道规划失败.

研究的目的:

  • 为多AUV系统提出一个改进的任务分配算法.
  • 为了解决动力学约束和潜在的轨迹规划失败.
  • 确保AUV在复杂环境中成功完成任务.

主要方法:

  • 结合了改进的自我组织地图 (SOM) 神经网络与杜宾斯路径算法.
  • 使用工作负载平衡和邻里函数进行初始任务分配.
  • 当动力学约束或障碍妨碍路径规划时,通过调整SOM神经重量来实现动态任务重新分配.

主要成果:

  • 该算法有效地将任务分配给AUV,考虑工作负载平衡.
  • 动态重新分配确保在动力学约束和障碍下路径可行性.
  • 模拟结果表明多AUV系统的路径规划和任务完成成功.

结论:

  • 拟议的算法提高了多AUV系统的任务分配效率.
  • 它为在动力学约束下运行的AUV提供了强大的解决方案.
  • 集成SOM和Dubins Path算法为复杂的AUV任务提供了一种可行的方法.