Search research 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

Related Concept Videos

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...

Field Application of Global Positioning System

Field Application of Global Positioning System

The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...

You might also read

Related Articles

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

Sort by

Same author

Effect of sodium hypochlorite and hyaluronic acid in subgingival re-instrumentation - a randomized clinical trial.

BMC oral health·2026

Same author

A vestibular conflict perspective on kinetosis risk during different motion patterns in real car driving experiments with obstructed outward view.

Applied ergonomics·2026

Same author

Limb-Sparing Reconstruction for Chronic Non-Bacterial Osteomyelitis of the Toe in a Pediatric Athlete: A Case Report.

Reports (MDPI)·2026

Same author

Field effects in penile squamous cell carcinoma: Insights from Wnt-related protein expression.

Clinical and experimental dermatology·2026

Same author

Molecular characterisation of human penile carcinoma and generation of paired epithelial primary cell lines.

Molecular oncology·2025

Same author

An Ex Vivo Evaluation of Air Intrusion Into Pulsed Field Ablation Sheaths During Ablation and Mapping Catheter Insertion.

Journal of cardiovascular electrophysiology·2025

Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026

Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026

Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026

Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026

Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026

Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 27, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Laser-Based Door Localization for Autonomous Mobile Service Robots.

Steffen Müller¹, Tristan Müller¹, Aamir Ahmed¹

¹Neuroinformatics and Cognitive Robotics Lab, Technische Universität Ilmenau, 98693 Ilmenau, Germany.

Sensors (Basel, Switzerland)

|June 10, 2023

Summary

This summary is machine-generated.

Researchers developed machine learning and heuristic methods to help autonomous mobile robots detect doors using 2D laser scans. Machine learning approaches showed superior performance in localizing door features for navigation.

Keywords:

PointNet deep learning door localization laser range scan

More Related Videos

Bringing the Visible Universe into Focus with Robo-AO

Bringing the Visible Universe into Focus with Robo-AO

Published on: February 12, 2013

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 2014

Related Experiment Videos

Last Updated: Jul 27, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Bringing the Visible Universe into Focus with Robo-AO

Bringing the Visible Universe into Focus with Robo-AO

Published on: February 12, 2013

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 2014

Area of Science:

Robotics
Computer Vision
Machine Learning

Background:

Autonomous mobile service robots face challenges with obstacles like closed doors.
Opening doors requires robots to identify key features (hinge, handle, angle).
Existing vision-based methods are computationally intensive.

Purpose of the Study:

To develop and compare methods for localizing door features using 2D laser range scans.
To assess the accuracy of machine learning and heuristic approaches for door detection.
To provide a publicly available dataset for robot door interaction research.

Main Methods:

Developed three machine learning algorithms for feature localization.
Implemented a heuristic method based on line fitting.
Utilized a custom dataset (LaserDoors) of 2D laser scans for evaluation.

Main Results:

Machine learning methods generally outperformed the heuristic approach in localization accuracy.
The computational efficiency of laser scans is advantageous for mobile robots.
Specific training data is necessary for real-world application of machine learning methods.

Conclusions:

2D laser scan analysis offers a viable, computationally efficient alternative for robot door feature localization.
Machine learning techniques show promise but require tailored datasets for practical deployment.
The LaserDoors dataset facilitates further research in robot-assisted door manipulation.