Enhancing digital twinning of industrial robots through augmented reality

This project will be investigating the use of Augmented Reality (AR) to enhance current implementation of Digital Twinning in Industry 4.0. The motivation is to address existing gaps in effective Human-Robot Interaction (HRI) between an industrial robot arm and its user to improve work efficiency an...

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Main Author: Soh, Gavin
Other Authors: Yeo Song Huat
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/141894
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1418942023-03-04T19:35:13Z Enhancing digital twinning of industrial robots through augmented reality Soh, Gavin Yeo Song Huat School of Mechanical and Aerospace Engineering Advanced Remanufacturing and Technology Centre (ARTC) Robotics Research Centre MYEOSH@ntu.edu.sg Engineering::Mechanical engineering::Robots This project will be investigating the use of Augmented Reality (AR) to enhance current implementation of Digital Twinning in Industry 4.0. The motivation is to address existing gaps in effective Human-Robot Interaction (HRI) between an industrial robot arm and its user to improve work efficiency and safety. By leveraging the Epson Moverio BT-35E Smart Glasses as a head-mounted display for AR implementation, an application developed to enable robot arm operation through voice-commands will require calibration of relevant parameters to effect accurate Digital Twinning which is of importance in for ensuring the effective transfer of intention from the robot arm to the user. A modular calibration functionality component will hence be developed to enhance Digital Twinning implementation for Industry 4.0 use cases. It is envisioned for this component to be a foundation for advancements in HRI through AR-enabled Digital Twinning. Bachelor of Engineering (Mechanical Engineering) 2020-06-11T08:06:22Z 2020-06-11T08:06:22Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/141894 en C006 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering::Robots
spellingShingle Engineering::Mechanical engineering::Robots
Soh, Gavin
Enhancing digital twinning of industrial robots through augmented reality
description This project will be investigating the use of Augmented Reality (AR) to enhance current implementation of Digital Twinning in Industry 4.0. The motivation is to address existing gaps in effective Human-Robot Interaction (HRI) between an industrial robot arm and its user to improve work efficiency and safety. By leveraging the Epson Moverio BT-35E Smart Glasses as a head-mounted display for AR implementation, an application developed to enable robot arm operation through voice-commands will require calibration of relevant parameters to effect accurate Digital Twinning which is of importance in for ensuring the effective transfer of intention from the robot arm to the user. A modular calibration functionality component will hence be developed to enhance Digital Twinning implementation for Industry 4.0 use cases. It is envisioned for this component to be a foundation for advancements in HRI through AR-enabled Digital Twinning.
author2 Yeo Song Huat
author_facet Yeo Song Huat
Soh, Gavin
format Final Year Project
author Soh, Gavin
author_sort Soh, Gavin
title Enhancing digital twinning of industrial robots through augmented reality
title_short Enhancing digital twinning of industrial robots through augmented reality
title_full Enhancing digital twinning of industrial robots through augmented reality
title_fullStr Enhancing digital twinning of industrial robots through augmented reality
title_full_unstemmed Enhancing digital twinning of industrial robots through augmented reality
title_sort enhancing digital twinning of industrial robots through augmented reality
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/141894
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