AI-based level detection and optimisation of assistive robot maneuverability

Assistive devices for blind and visually impaired people are one of the technologies that famous among the researchers. There are many devices has been developed by the researcher in order to aid the visually impaired people to move around. One of the challenges faces by the blind and visually impai...

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Main Authors: Toha, Siti Fauziah, Idris, Ahmad Syahrin, Abd Halim, Abdur Razzaq
Format: Book
Language:English
Published: Centre for Professional Development (CPD) 2021
Subjects:
Online Access:http://irep.iium.edu.my/93365/1/93365_AI-based%20level%20detection%20and%20optimisation.pdf
http://irep.iium.edu.my/93365/
http://www.iium.edu.my/centre/cpd
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spelling my.iium.irep.933652021-11-02T03:05:57Z http://irep.iium.edu.my/93365/ AI-based level detection and optimisation of assistive robot maneuverability Toha, Siti Fauziah Idris, Ahmad Syahrin Abd Halim, Abdur Razzaq TK5101 Telecommunication. Including telegraphy, radio, radar, television Assistive devices for blind and visually impaired people are one of the technologies that famous among the researchers. There are many devices has been developed by the researcher in order to aid the visually impaired people to move around. One of the challenges faces by the blind and visually impaired people is stair. Using traditional method, the present of the staircase cannot be detected in a safe distance. Rovision is one of the devices that has the capability to guide the user to move to desired place without hitting any obstacle or object. In mobile robot, sensors play important roles in guiding the robot by sending the data of the surrounding for the robot to execute the action. Camera and ultrasonic sensor are two sensors that use in the Rovision to navigate the robot in safe distance while detecting the staircase. Image processing is one of the best methods in detecting staircase. It has a capability to learn by its own using the training dataset. By training the dataset, the system be able to identify the staircase and the position inside the camera frame to help Rovision to maneuver and guide the user safely. Rovision also use ultrasonic sensors to avoid obstacle in surrounding in order to have clear and safe path for the visually impaired person. This AI-Based Level Detection and Optimisation of Assistive Robot Maneuverability book will be useful for postgraduate students as well as final year undergraduate students researching on robotics area especially using the latest python software with focus on artificial intelligence techniques. Centre for Professional Development (CPD) 2021-10-28 Book PeerReviewed application/pdf en http://irep.iium.edu.my/93365/1/93365_AI-based%20level%20detection%20and%20optimisation.pdf Toha, Siti Fauziah and Idris, Ahmad Syahrin and Abd Halim, Abdur Razzaq (2021) AI-based level detection and optimisation of assistive robot maneuverability. Centre for Professional Development (CPD), Kuala Lumpur, Malaysia. http://www.iium.edu.my/centre/cpd
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle TK5101 Telecommunication. Including telegraphy, radio, radar, television
Toha, Siti Fauziah
Idris, Ahmad Syahrin
Abd Halim, Abdur Razzaq
AI-based level detection and optimisation of assistive robot maneuverability
description Assistive devices for blind and visually impaired people are one of the technologies that famous among the researchers. There are many devices has been developed by the researcher in order to aid the visually impaired people to move around. One of the challenges faces by the blind and visually impaired people is stair. Using traditional method, the present of the staircase cannot be detected in a safe distance. Rovision is one of the devices that has the capability to guide the user to move to desired place without hitting any obstacle or object. In mobile robot, sensors play important roles in guiding the robot by sending the data of the surrounding for the robot to execute the action. Camera and ultrasonic sensor are two sensors that use in the Rovision to navigate the robot in safe distance while detecting the staircase. Image processing is one of the best methods in detecting staircase. It has a capability to learn by its own using the training dataset. By training the dataset, the system be able to identify the staircase and the position inside the camera frame to help Rovision to maneuver and guide the user safely. Rovision also use ultrasonic sensors to avoid obstacle in surrounding in order to have clear and safe path for the visually impaired person. This AI-Based Level Detection and Optimisation of Assistive Robot Maneuverability book will be useful for postgraduate students as well as final year undergraduate students researching on robotics area especially using the latest python software with focus on artificial intelligence techniques.
format Book
author Toha, Siti Fauziah
Idris, Ahmad Syahrin
Abd Halim, Abdur Razzaq
author_facet Toha, Siti Fauziah
Idris, Ahmad Syahrin
Abd Halim, Abdur Razzaq
author_sort Toha, Siti Fauziah
title AI-based level detection and optimisation of assistive robot maneuverability
title_short AI-based level detection and optimisation of assistive robot maneuverability
title_full AI-based level detection and optimisation of assistive robot maneuverability
title_fullStr AI-based level detection and optimisation of assistive robot maneuverability
title_full_unstemmed AI-based level detection and optimisation of assistive robot maneuverability
title_sort ai-based level detection and optimisation of assistive robot maneuverability
publisher Centre for Professional Development (CPD)
publishDate 2021
url http://irep.iium.edu.my/93365/1/93365_AI-based%20level%20detection%20and%20optimisation.pdf
http://irep.iium.edu.my/93365/
http://www.iium.edu.my/centre/cpd
_version_ 1717093004484804608
score 13.214268