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相关概念视频

Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

446
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
446
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

653
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.
653
Visual System01:26

Visual System

584
Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
584
Vision01:24

Vision

53.4K
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.
53.4K

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相关实验视频

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MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
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寻找差距:密集环境中的神经形态运动视觉.

Thorben Schoepe1,2,3,4, Ella Janotte5, Moritz B Milde6

  • 1Peter Grünberg Institut 15, Forschungszentrum Jülich, Aachen, Germany. t.schoepe@fz-juelich.de.

Nature communications
|January 27, 2024
PubMed
概括

一个由昆虫启发的新型机器人使用单一的机制安全地在密集的地形上导航. 通过向明显运动较低的区域转向,它可以避免碰撞,并选择安全通道,模仿昆虫的行为.

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 神经科学是一个神经科学.
  • 动物行为 动物行为

背景情况:

  • 动物在复杂的环境中使用复杂的机制来导航,以避免碰撞和跨越障碍物.
  • 了解这些机制对于生物研究和工程应用都至关重要.

研究的目的:

  • 研究一种统一的机制,以确保动物在密集的地形中安全高效地移动.
  • 开发一种以昆虫为灵感的机器人,展示这些能力.

主要方法:

  • 开发了一个包含神经形态网络的仿生机器人.
  • 该网络根据视觉输入指导机器人,特别针对明显运动较低的区域.
  • 昆虫视觉处理和避开障碍的利用原则.

主要成果:

  • 机器人成功地在密集的地形上导航,展示了避免碰撞,穿越差距和选择安全通道.
  • 神经形态网络有效地使用低明显运动原理引导机器人.
  • 该系统的性能验证了拟议的昆虫类导航机制.

结论:

  • 一个单一的机制,指向低明显运动,使得安全和高效的旅行在密集的环境中,如在昆虫.
  • 开发的机器人可以作为研究昆虫导航的工作假设.
  • 这项研究突出了设计由生物行为启发的新型硬件系统的潜力.