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相关概念视频

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

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A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
905
Tactile and Chemical Senses01:27

Tactile and Chemical Senses

1.4K
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.
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相关实验视频

Updated: Apr 13, 2026

A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

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机器人触觉纹理识别任务的积极学习策略

Shemonto Das1, Vinicius Prado da Fonseca1, Amilcar Soares2

  • 1Department of Computer Science, Memorial University of Newfoundland, St. John's, NL, Canada.

Frontiers in robotics and AI
|February 21, 2024
PubMed
概括

主动学习 (AL) 减少了机器人传感器数据标签用于纹理分类. 一个新的类平衡算法提高了AL的性能,通过6s窗口和额外的树木实现了90.21%的f1得分.

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 机器学习 机器学习
  • 人工智能的人工智能

背景情况:

  • 机器人需要准确的纹理分类,以便对环境进行感知和决策.
  • 大量的传感器时间序列数据给机器人学习带来了挑战.
  • 人类反对于机器人学习至关重要,特别是当错误分类发生时.

研究的目的:

  • 通过使用主动学习 (AL) 来减少机器人纹理分类中的人类标签工作.
  • 为AL策略开发一种新的类平衡实例选择算法.
  • 为了评估滑动窗尺寸对AL性能对纹理分类的影响.

主要方法:

  • 实施主动学习 (AL) 来选择信息样本进行注释.
  • 采用了滑动窗口策略来提取时间序列特征.
  • 提出并整合了一个类平衡实例选择算法与标准AL.

主要成果:

  • AL策略减少了高达70%的培训数据,同时保持或超过了基线性能.
  • 新的类平衡算法改善了在多类纹理数据集中的AL性能.
  • 6秒的滑动窗实现了最佳性能,额外的树木产生了90.21%的平均f1得分.
关键词:
积极学习是积极学习.阶级失衡是一种失衡.触觉感应是一种触觉感应.时间特征 时间特征 时间特征质地分类 质地分类时间序列时间序列

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Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects
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Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

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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

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相关实验视频

Last Updated: Apr 13, 2026

A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

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Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects
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Measurement of Vibration Detection Threshold and Tactile Spatial Acuity in Human Subjects

Published on: September 1, 2016

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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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结论:

  • 拟议的数据管道提高了机器人的纹理分类性能.
  • 积极学习与阶级平衡相结合,大大减少了对人类标签的需求.
  • 优化窗口大小和模型选择是高性能机器人纹理分类的关键.