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

One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

465
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...
465
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

630
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...
630
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

371
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
371
Three-Dimensional Force System01:30

Three-Dimensional Force System

2.0K
In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
2.0K
Mechanical Systems01:22

Mechanical Systems

171
Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
171
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

3.7K
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...
3.7K

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

MRI-Based Meningioma Firmness Classification Using an Adversarial Feature Learning Approach.

Sensors (Basel, Switzerland)·2025
查看所有相关文章

相关实验视频

Updated: Jun 8, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K

向着一个通用框架的任务规划和执行与异构的多机器人系统.

Mohsen Denguir1, Ameur Touir2, Achraf Gazdar1

  • 1Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.

Sensors (Basel, Switzerland)
|November 9, 2024
PubMed
概括

本研究介绍了在复杂环境中协调地面和空中机器人的框架. 它使可适应的任务执行成为可能,并优化了对探索和数据收集等任务的协作.

关键词:
无人机无人机无人机是什么?美国UGVV去中心化控制,去中心化控制.形成控制的形成控制.形成稳定性 形成稳定性不同质的多机器人系统.任务规划 任务规划任务分配 任务分配

更多相关视频

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K
Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
13:44

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Published on: August 8, 2011

13.8K

相关实验视频

Last Updated: Jun 8, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.6K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K
Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
13:44

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Published on: August 8, 2011

13.8K

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
  • 计算机科学 计算机科学

背景情况:

  • 在动态环境中协调异质机器人 (无人地面车辆和无人飞行器) 面临重大挑战.
  • 现有的系统往往缺乏复杂的,非结构化的任务场景的可扩展性和适应性.

研究的目的:

  • 开发一个全面的框架,用于在异构的多机器人系统中规划和执行任务.
  • 加强无人地面车辆 (UGV) 和无人飞行器 (UAV) 的协调,任务分配和资源优化.

主要方法:

  • 在二维和三维空间进行自适应任务执行的分散控制策略.
  • 实施强大的任务分配算法和动态形成控制.
  • 使用ROS 2通信协议可靠的机器人间信息交换.

主要成果:

  • 通过案例研究证明了有效的协调勘探和数据收集.
  • 展示了框架管理任务的能力,同时优化机器人协作.
  • 由于其松散合的架构,验证了系统的可扩展性和可维护性.

结论:

  • 拟议的框架为在具有挑战性的环境中多机器人协调提供了可扩展和适应的解决方案.
  • 这项工作通过实现强大的任务规划和执行,推动了异质机器人系统领域的发展.
  • 该框架为UGV和UAV在复杂任务中的有效协作提供了便利.