Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jun 21, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

515

基于神经网络的算法用于使用RGBD摄像头识别门把手.

Lesia Mochurad1, Yaroslav Hladun2

  • 1Lviv Polytechnic National University, Lviv, 79013, Ukraine. lesia.i.mochurad@lpnu.ua.

Scientific reports
|July 8, 2024
PubMed
概括
此摘要是机器生成的。

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Retraction Note: Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence.

BMC medical informatics and decision making·2026
Same author

TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency.

Scientific reports·2025
Same author

Approach for enhancing the accuracy of semantic segmentation of chest X-ray images by edge detection and deep learning integration.

Frontiers in artificial intelligence·2025
Same author

Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence.

BMC medical informatics and decision making·2025
Same author

Innovative machine learning approaches for indoor air temperature forecasting in smart infrastructure.

Scientific reports·2025
Same author

An ensemble approach integrating LSTM and ARIMA models for enhanced financial market predictions.

Royal Society open science·2024
Same journal

A tri-axis optomechanical accelerometer with plasmonic MIM waveguide and structural direction-dependent optical signatures.

Scientific reports·2026
Same journal

Holographic leaky-wave antennas with independently controlled multiple counter-rotating vortex beams.

Scientific reports·2026
Same journal

Differential associations of longitudinal hearing and vision trajectories with dementia and mild cognitive impairment in older adults.

Scientific reports·2026
Same journal

Abdominal obesity and leisure-time sedentary behavior in relation to gastroesophageal reflux disease risk: a prospective cohort study from the UK Biobank.

Scientific reports·2026
Same journal

Effect of nitrogen-rich COF incorporation on the structure and separation performance of polyamide nanofiltration membranes.

Scientific reports·2026
Same journal

Withanolide A inhibits hIAPP aggregation: An In silico, biophysical, and drosophila-based In vivo validation.

Scientific reports·2026
查看所有相关文章

这项研究引入了一种新的方法,让机器人使用RGBD摄像头识别门把手的位置. 开发的系统实现了实时性能,每秒处理16张图像,以提高机器人的适应性.

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:

  • 机器人的适应性需要有效地与各种物体 (如门把手) 进行交互.
  • 当前的机器人系统在不同环境中识别和操纵各种门把手设计时面临着挑战.

研究的目的:

  • 开发和实施一种强大的方法,使机器人能够使用RGBD摄像头数据识别门把手的位置.
  • 增强自主机器人的能力,以与常见的家用物体进行现实互动.

主要方法:

  • 创建了一个由5000个注释的门把手图像组成的数据集.
  • 使用基于MobileNetV2的神经网络架构,具有自定义解码器和新型激活功能.
  • 实时图像处理是实现的一个关键目标.

主要成果:

  • 提出的方法成功地从RGBD摄像头输入中识别和定位门把手.
  • 该模型可以实现每秒高达16张图像的实时处理速度.
  • 定制架构和激活功能有助于提高准确性和效率.

结论:

  • 开发的方法显著提升了机器人对门把手操纵的感知.
关键词:
框架 TensorFlow 流动 框架神经网络的神经网络一个RGBD摄像头.机器人技术 机器人技术 机器人技术平均平方误差 平均平方误差

更多相关视频

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.0K
A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.4K

相关实验视频

Last Updated: Jun 21, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

515
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.0K
A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis
05:41

A Step-by-Step Implementation of DeepBehavior, Deep Learning Toolbox for Automated Behavior Analysis

Published on: February 6, 2020

9.4K
  • 这项研究有助于在各种环境中实际部署自主机器人.
  • 实时性能使人机交互更加流和有效.