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相关概念视频

Olfaction01:25

Olfaction

40.5K
The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...
40.5K
Olfactory Receptors: Location and Structure01:03

Olfactory Receptors: Location and Structure

10.6K
The process of olfaction, also known as the sense of smell, is a sophisticated chemical response system. The specialized sensory neurons that facilitate this process, known as olfactory receptor neurons, are situated in an upper segment of the nasal cavity, known as the olfactory epithelium. Olfactory sensory neurons are bipolar, with their dendrites extending from the epithelium's apex into the mucus that lines the nasal cavity. Airborne molecules, when inhaled, traverse the olfactory...
10.6K
Physiology of Smell and Olfactory Pathway01:20

Physiology of Smell and Olfactory Pathway

13.2K
Humans detect odors with the help of specialized cells located in the upper part of the nasal cavity, called olfactory receptor neurons (ORNs). ORNs possess hair-like structures called cilia, which are receptive to sensations from the inhaled air. When an odorant molecule binds to a specific receptor on the cell of the cilia, it leads to a series of events that ultimately cause the ORN to send electrical signals to the olfactory bulb in the brain through the olfactory nerves.
The olfactory...
13.2K

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相关实验视频

Updated: May 7, 2026

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches
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Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

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适应空间意识信息出租车II作为一种气味来源定位策略

Shiqi Liu1,2, Yan Zhang1,2, Shurui Fan1,2

  • 1Innovation and Research Institute, Hebei University of Technology, Shijiazhuang 050299, China.

Entropy (Basel, Switzerland)
|April 26, 2024
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种适应空间意识的Infotaxis II算法,用于增强移动机器人的嗅觉,用于危险源定位. 新方法提高了搜索效率,平衡了勘探和开采,性能优于传统策略.

关键词:
贝叶斯的推理 贝叶斯的推理适应性导航适应性导航是指适应性导航.信息是信息的.气味来源的定位和定位萨尔普群群算法 萨尔普群群算法

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Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
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Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

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Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
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Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

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相关实验视频

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Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
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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
  • 传感器系统 传感器系统

背景情况:

  • 移动机器人的嗅觉对于检测安全和灾害响应中的有毒和危险物质至关重要.
  • 目前的气味来源局部化策略效率低,并且可能会陷入局部最佳状态.

研究的目的:

  • 提出一个适应空间意识的Infotaxis II算法,以提高移动机器人气味源定位效率.
  • 为了增强机器人跟踪和探索行为,同时避免局部最佳.

主要方法:

  • 开发了一个新的奖励功能,包含空间信息,并强调机器人探索.
  • 实施了使用信息来调节运动范围的自适应导航更新机制.
  • 使用了改进的自适应性cosine salp群算法来优化自适应性参数.

主要成果:

  • 在2D和3D环境中的比较模拟表明,与经典策略相比,搜索效率更高.
  • 拟议的算法在探索和利用行为之间实现了更好的平衡.
  • 成功避免了过度勘探,这可能导致局部最佳.

结论:

  • 适应空间意识的Infotaxis II算法显著提高了移动机器人的嗅觉,用于危险源的定位.
  • 该战略提供了提高效率和平衡的方法,在复杂的环境中进行勘探和开采.