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

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

738
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...
738
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

451
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
451
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

4.4K
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...
4.4K
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

863
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...
863
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

101
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
101
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

677
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
677

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

Robust Multi-Agent Path Finding Method for Obstacles and Environmental Changes in Factory Environments.

Sensors (Basel, Switzerland)·2026
Same author

Genetic Causes and Ankle Instability in Hypermobile Ehlers-Danlos Syndrome (hEDS): An Integrated Analysis Using Whole-Exome Sequencing and Stress Imaging.

Journal of clinical medicine·2026
Same author

Ginsenoside Rd attenuates fine particulate matter-induced pulmonary inflammation by directly inhibiting the transforming growth factor-beta-activated kinase 1-mediated toll-like receptor 2 signaling.

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

Multimodal AI mapping with GigaTIME reveals spatial immune signaling states in the tumor microenvironment.

International journal of biological sciences·2026
Same author

DeepKinomeWeb: a quantitative, panel-level platform for kinase inhibitor screening and selectivity profiling.

Nucleic acids research·2026
Same author

Plasma-modified biodegradable coatings for controlled nitrogen release from urea.

Scientific reports·2026

相关实验视频

Updated: Sep 13, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.5K

针对高密度停车环境的多机器人路径规划,考虑效率和公平性.

Jinhyuk Lee1, Woojin Chung1

  • 1Department of Mechanical Engineering, Korea University, Seoul 02841, Republic of Korea.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
概括

这项研究引入了一个新的自主停车系统,用于高密度停车场. 它平衡了运营效率和任务优先级,通过多个机器人有效地管理高峰期的需求.

科学领域:

  • 机器人和自动化机器人与自动化
  • 运营研究 运营研究
  • 人工智能的人工智能

背景情况:

  • 机场停车拥堵需要像高密度停车系统 (HDP) 这样的高效解决方案.
  • 传统的多代理路径查找 (MAPF) 方法优先考虑整体效率,而不是单个任务优先级和机器人的可行性.
  • 现有的MAPF方法为停车机器人产生了物理不可行的路径.

研究的目的:

  • 开发一种多机器人路径规划方法,平衡运营效率和个别任务优先级.
  • 在现实世界机场停车场场景中解决传统MAPF的局限性.
  • 创建基于时间的停车操作和机器人车队估计的实际基础.

主要方法:

  • 提出了一种新的多机器人路径规划方法,增强基于优先级的搜索 (PBS).
  • 动态调整优先级,以确保整个系统的效率和个别车辆的任务完成.
  • 实现了一个模拟器,复制了一个真实的机场停车环境,有100个车位和停车机器人.

主要成果:

  • 自主停车系统有效地利用真实机场数据处理高峰季停车需求.
  • 在优化的重量值下,实现了超过每小时41辆的吞吐量.
  • 在完成任务时表现出可接受的公平性,同时满足高需求.
关键词:
自动化服务员停车场多机器人的多机器人路径规划路径规划路径规划

更多相关视频

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

11.8K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K

相关实验视频

Last Updated: Sep 13, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.5K
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

11.8K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.7K

结论:

  • 拟议的方法为高效和优先意识的自动停车提供了一个实际的解决方案.
  • 验证了系统在复杂的机场环境中管理高峰季度需求的能力.
  • 提供了优化停车操作和确定最佳机器人部署的基础.