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相关概念视频

Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

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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...
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Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

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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...
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Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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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...
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Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

1.8K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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Three-Dimensional Force System01:30

Three-Dimensional Force System

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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...
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相关实验视频

Updated: Jan 18, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

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一个端到端计算轻量级的基于视觉的抓取系统,用于杂货商品.

Thanavin Mansakul1, Gilbert Tang1, Phil Webb1

  • 1Centre for Robotics and Assembly, Faculty of Engineering and Applied Sciences, Cranfield University, Bedford MK43 0AL, UK.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

本研究介绍了移动操纵器的高效基于视觉的抓取框架. 该系统实现了快速而准确的掌握检测,使实用机器人应用具有高成功率.

关键词:
终端到终端抓住检测检测轻量级计算的轻量级计算方式机器视觉 机器视觉 机器视觉移动操纵器移动操纵器对象检测检测对象检测对象检测对象的姿势估计对象的姿势估计基于视觉的掌握系统

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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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相关实验视频

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 基于视觉的移动操纵器捕捉在感知,效率和部署方面面临挑战.
  • 现有的方法往往缺乏实时应用的计算效率.

研究的目的:

  • 为移动操纵器开发一个计算轻量级,端到端的掌握检测框架.
  • 通过将图像坐标映射到机器人框架中来实现准确的操纵.

主要方法:

  • 集成的对象检测,姿势估计和掌握点预测.
  • 开发了一个从图像到机器人的坐标转换模型.
  • 创建了一个基准和数据集,用于挑选和包装杂货任务.

主要成果:

  • 在边缘设备上实现的平均执行时间在5秒以下.
  • 在基准的1级成功率为100%,在基准的2级成功率为96%.
  • 报告平均计算速度比为0.0130,表明能源效率.

结论:

  • 拟议的框架是基于视觉的掌握的实用,坚固和高效的解决方案.
  • 它适用于现实环境中的轻量级机器人应用.
  • 该系统解决了移动操纵器感知和效率的关键挑战.