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相关概念视频

Tactile and Chemical Senses01:27

Tactile and Chemical Senses

690
Tactile senses encompass touch, temperature, and pain, each mediated by specific receptors. Touch receptors detect mechanical energy or pressure against the skin. Sensory fibers from these receptors enter the spinal cord and relay information to the brain stem. Here, most fibers cross over to the opposite side of the brain. The touch information then moves to the thalamus, which projects a map of the body's surface onto the somatosensory areas of the parietal lobes in the cerebral cortex.
690
Somatosensation01:33

Somatosensation

42.9K
The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
42.9K

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相关实验视频

Updated: Jan 10, 2026

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
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Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

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生物模拟机器人在受限制环境中的视觉触觉感知.

Yulai Zhang, Zhiqiang Yu, Zuowei Chen

    Bioinspiration & biomimetics
    |November 20, 2025
    PubMed
    概括

    这项研究引入了一种新的视觉触觉感知系统,用于仿生机器人,灵感来自于老鼠. 该系统增强了环境感知和本地化准确性,大大减少了复杂环境中的错误.

    科学领域:

    • 机器人技术 机器人技术 机器人技术
    • 生物模拟学是一种生物模拟学.
    • 传感器融合式传感器

    背景情况:

    • 仿生机器人需要先进的环境感知来实现现实世界的应用.
    • 老鼠利用互补的视觉和触觉感知来进行导航和探索.
    • 当前的机器人系统往往缺乏集成的多感官感知能力.

    研究的目的:

    • 为小型仿生机器人大鼠开发和实施视觉触觉融合感知系统.
    • 在复杂的环境中提高机器人的感知和定位精度.
    • 通过物理实验验证系统的性能.

    主要方法:

    • 利用双眼视觉与基于注意力的网络进行深度图像估计.
    • 实施动态移除对象模块,以提高感知精度14.22%.
    • 集成了胡须传感器,用于在狭窄的空间中增强轮和边界检测,在障碍物轮上达到>97%的精度,在环境边界上达到>93%的精度.

    主要成果:

    • 实现了视觉和触觉的融合,以感知复杂的环境.
    • 在狭窄和昏暗的场景中,显示出局部化错误的显著减少,平均为29.14%.
    • 通过物理实验,在一个微型仿生机器人上成功实现了视觉触觉融合感知.
    关键词:
    生物灵感感知的感知生物仿真学的生物仿真学.机器人技术 机器人工程 机器人工程

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    结论:

    • 拟议的视觉触觉融合系统显著改善了仿生机器人的环境感知和定位能力.
    • 这种对微型仿生机器人的开创性实施,为机器人传感提供了一个新的范式.
    • 该系统在具有挑战性的,非结构化的环境中显示了对导航和探索的有希望的结果.