Towards Contactless Learning Activities during Pandemics Using Autonomous Service Robots

The COVID-19 pandemic has had a significant impact worldwide, impacting schools, undergraduate, and graduate university education. More than half a million lives have been lost due to COVID-19. Moving towards contactless learning activities has become a research area due to the rapid advancement of...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Anas Al Tarabsheh, Maha Yaghi, AbdulRehman Younis, Razib Sarker, Sherif Moussa, Yazeed Eldigair, Hassan Hajjdiab, Ayman El-Baz, Mohammed Ghazal
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
T
Acceso en línea:https://doaj.org/article/28e1004207c24bf5b23e74495f2435b5
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:28e1004207c24bf5b23e74495f2435b5
record_format dspace
spelling oai:doaj.org-article:28e1004207c24bf5b23e74495f2435b52021-11-11T15:24:17ZTowards Contactless Learning Activities during Pandemics Using Autonomous Service Robots10.3390/app1121104492076-3417https://doaj.org/article/28e1004207c24bf5b23e74495f2435b52021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10449https://doaj.org/toc/2076-3417The COVID-19 pandemic has had a significant impact worldwide, impacting schools, undergraduate, and graduate university education. More than half a million lives have been lost due to COVID-19. Moving towards contactless learning activities has become a research area due to the rapid advancement of technology, particularly in artificial intelligence and robotics. This paper proposes an autonomous service robot for handling multiple teaching assistant duties in the educational field to move towards contactless learning activities during pandemics. We use SLAM to map and navigate the environment to proctor an exam. We also propose a human–robot voice interaction and an academic content personalization algorithm. Our results show that our robot can navigate the environment to proctor students avoiding any static or dynamic obstacles. Our cheating detection system obtained a testing accuracy of 86.85%. Our image-based exam paper scanning system can scan, extract, and process exams with high accuracy.Anas Al TarabshehMaha YaghiAbdulRehman YounisRazib SarkerSherif MoussaYazeed EldigairHassan HajjdiabAyman El-BazMohammed GhazalMDPI AGarticleroboticsservice robotsautonomous navigationsimultaneous localization and mappingnatural language processingTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10449, p 10449 (2021)
institution DOAJ
collection DOAJ
language EN
topic robotics
service robots
autonomous navigation
simultaneous localization and mapping
natural language processing
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle robotics
service robots
autonomous navigation
simultaneous localization and mapping
natural language processing
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Anas Al Tarabsheh
Maha Yaghi
AbdulRehman Younis
Razib Sarker
Sherif Moussa
Yazeed Eldigair
Hassan Hajjdiab
Ayman El-Baz
Mohammed Ghazal
Towards Contactless Learning Activities during Pandemics Using Autonomous Service Robots
description The COVID-19 pandemic has had a significant impact worldwide, impacting schools, undergraduate, and graduate university education. More than half a million lives have been lost due to COVID-19. Moving towards contactless learning activities has become a research area due to the rapid advancement of technology, particularly in artificial intelligence and robotics. This paper proposes an autonomous service robot for handling multiple teaching assistant duties in the educational field to move towards contactless learning activities during pandemics. We use SLAM to map and navigate the environment to proctor an exam. We also propose a human–robot voice interaction and an academic content personalization algorithm. Our results show that our robot can navigate the environment to proctor students avoiding any static or dynamic obstacles. Our cheating detection system obtained a testing accuracy of 86.85%. Our image-based exam paper scanning system can scan, extract, and process exams with high accuracy.
format article
author Anas Al Tarabsheh
Maha Yaghi
AbdulRehman Younis
Razib Sarker
Sherif Moussa
Yazeed Eldigair
Hassan Hajjdiab
Ayman El-Baz
Mohammed Ghazal
author_facet Anas Al Tarabsheh
Maha Yaghi
AbdulRehman Younis
Razib Sarker
Sherif Moussa
Yazeed Eldigair
Hassan Hajjdiab
Ayman El-Baz
Mohammed Ghazal
author_sort Anas Al Tarabsheh
title Towards Contactless Learning Activities during Pandemics Using Autonomous Service Robots
title_short Towards Contactless Learning Activities during Pandemics Using Autonomous Service Robots
title_full Towards Contactless Learning Activities during Pandemics Using Autonomous Service Robots
title_fullStr Towards Contactless Learning Activities during Pandemics Using Autonomous Service Robots
title_full_unstemmed Towards Contactless Learning Activities during Pandemics Using Autonomous Service Robots
title_sort towards contactless learning activities during pandemics using autonomous service robots
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/28e1004207c24bf5b23e74495f2435b5
work_keys_str_mv AT anasaltarabsheh towardscontactlesslearningactivitiesduringpandemicsusingautonomousservicerobots
AT mahayaghi towardscontactlesslearningactivitiesduringpandemicsusingautonomousservicerobots
AT abdulrehmanyounis towardscontactlesslearningactivitiesduringpandemicsusingautonomousservicerobots
AT razibsarker towardscontactlesslearningactivitiesduringpandemicsusingautonomousservicerobots
AT sherifmoussa towardscontactlesslearningactivitiesduringpandemicsusingautonomousservicerobots
AT yazeedeldigair towardscontactlesslearningactivitiesduringpandemicsusingautonomousservicerobots
AT hassanhajjdiab towardscontactlesslearningactivitiesduringpandemicsusingautonomousservicerobots
AT aymanelbaz towardscontactlesslearningactivitiesduringpandemicsusingautonomousservicerobots
AT mohammedghazal towardscontactlesslearningactivitiesduringpandemicsusingautonomousservicerobots
_version_ 1718435356107341824