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相关概念视频

Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

696
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...
696
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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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...
680
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
Centroid of a Body: Problem Solving01:03

Centroid of a Body: Problem Solving

1.2K
The centroid of a body is a crucial concept in engineering and physics. Finding the centroid of a body can help determine its stability, its balance point, and even its design. In this context, consider a thin wire bent in the form of a quarter circular arc. Polar coordinates are used to calculate the centroid. The wire is first divided into small differential elements of a length equal to the radius multiplied by the differential angle.
The x-coordinates and y-coordinates of each element's...
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Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

623
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...
623
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

84
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...
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Updated: Jul 27, 2025

Operation of the Collaborative Composite Manufacturing CCM System
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一个凸起的优化方法多机器人任务分配和路径规划.

Tingjun Lei1, Pradeep Chintam1, Chaomin Luo1

  • 1Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS 39762, USA.

Sensors (Basel, Switzerland)
|June 10, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了多机器人系统的新框架,以有效地分配任务和计划路径,尽量减少探索任务的行程距离. 该方法优化了机器人团队的部署和动态子任务分配,以提高性能.

关键词:
SOM神经网络是一个神经网络.凸凸的优化优化多机器人部署的部署路径规划路径规划路径规划任务分配 任务分配任务分解 分解.

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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
  • 运营研究 运营研究

背景情况:

  • 在现实应用中动态部署多个机器人对于探索等任务至关重要.
  • 在多机器人任务分配中最大限度地降低距离成本是一个NP难题,需要有效的解决方案.

研究的目的:

  • 开发一个基于团队的多机器人任务分配和路径规划的新框架.
  • 在探索任务中,尽量减少机器人和它们指定的目标之间的距离.

主要方法:

  • 提出了一个基于凸优化的距离最佳模型,以尽量减少旅行距离.
  • 该框架集成了任务分解,团队聚类,用于部署的凸式优化,Delaunay三角化改进,以及基于地图的自我组织神经网络 (SOMNN) 用于本地分配和路径规划.

主要成果:

  • 拟议的框架有效地融合了多机器人系统的任务分解,分配和路径规划.
  • 凸起式优化用于近似机器人团队形状并最大限度地缩小距离,其次是Delaunay三角化用于位置精细化.
  • 一个SOMNN范式使机器人团队内的动态子任务分配和本地路径规划成为可能.

结论:

  • 开发的混合框架为复杂的多机器人任务分配和路径规划问题提供了有效和高效的解决方案.
  • 该方法解决了动态机器人部署中距离最小化的NP-hard性质.
  • 模拟研究验证了机器人探索任务中的框架的有效性和效率.