Search research articles

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

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

See all related articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Jun 21, 2025

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

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

Published on: December 15, 2023

Neural network-based algorithm for door handle recognition using RGBD cameras.

Lesia Mochurad¹, Yaroslav Hladun²

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

Scientific Reports

|July 8, 2024

Summary

This summary is machine-generated.

This study introduces a novel method for robots to recognize door handle positions using RGBD cameras. The developed system achieves real-time performance, processing 16 images per second for enhanced robot adaptability.

Keywords:

Framework TensorFlow Neural network RGBD camera Robotics The Mean Squared Error

More Related Videos

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

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

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

Published on: February 6, 2020

Related Experiment Videos

Last Updated: Jun 21, 2025

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

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

Published on: December 15, 2023

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

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

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

Published on: February 6, 2020

Area of Science:

Robotics
Computer Vision
Machine Learning

Background:

Robot adaptability requires effective interaction with diverse objects like doorknobs.
Current robotic systems face challenges in recognizing and manipulating varied doorknob designs in different environments.

Purpose of the Study:

To develop and implement a robust method for robots to recognize door handle positions using RGBD camera data.
To enhance autonomous robot capabilities for real-world interaction with common household objects.

Main Methods:

A dataset of 5000 annotated doorknob images was created.
A neural network architecture based on MobileNetV2 with a custom decoder and a novel activation function was employed.
Real-time image processing was a key implementation goal.

Main Results:

The proposed approach successfully identifies and localizes door handles from RGBD camera input.
The model achieves real-time processing speeds of up to 16 images per second.
The custom architecture and activation function contribute to increased accuracy and efficiency.

Conclusions:

The developed method significantly advances robot perception for doorknob manipulation.
This research contributes to the practical deployment of autonomous robots in diverse settings.
The real-time performance enables more fluid and effective human-robot interaction.