Establishing a knowledge graph-based recommendation system for product family reconfiguration and redesign for a robotics-based use case

This research investigates the integration of modular product design with generative design to enhance the reconfiguration and redesign of robotic arms within various industrial applications. By leveraging a knowledge graph-based system, this study aims to facilitate rapid and precise modificatio...

Full description

Saved in:
Bibliographic Details
Main Author: Malhotra, Parth
Other Authors: Chen Chun-Hsien
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177394
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-177394
record_format dspace
spelling sg-ntu-dr.10356-1773942024-06-01T16:51:01Z Establishing a knowledge graph-based recommendation system for product family reconfiguration and redesign for a robotics-based use case Malhotra, Parth Chen Chun-Hsien School of Mechanical and Aerospace Engineering Kendrik Lim MCHchen@ntu.edu.sg Engineering Modularization Reconfiguration and redesign Knowledge graph Robotics This research investigates the integration of modular product design with generative design to enhance the reconfiguration and redesign of robotic arms within various industrial applications. By leveraging a knowledge graph-based system, this study aims to facilitate rapid and precise modifications of robotic arms to meet specific customer needs without having to create new products from the ground-up. A case study in the Electronics Industry is created utilizing the Openmanipulator-X robotic arm to illustrate the implementation of this hybrid system. The methodology adopted involves constructing a comprehensive knowledge graph that encapsulates customer preferences, component relationships, and engineering constraints, allowing for efficient recommendation, and prototyping of reconfigured robotic arms with optimized generative designs for unmatched modules from the knowledge-graph based reconfiguration approach. This approach promises to minimize production costs and time while maximizing the adaptability and efficacy of robotic manufacturing systems. Bachelor's degree 2024-05-28T05:01:41Z 2024-05-28T05:01:41Z 2024 Final Year Project (FYP) Malhotra, P. (2024). Establishing a knowledge graph-based recommendation system for product family reconfiguration and redesign for a robotics-based use case. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177394 https://hdl.handle.net/10356/177394 en C019 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
Modularization
Reconfiguration and redesign
Knowledge graph
Robotics
spellingShingle Engineering
Modularization
Reconfiguration and redesign
Knowledge graph
Robotics
Malhotra, Parth
Establishing a knowledge graph-based recommendation system for product family reconfiguration and redesign for a robotics-based use case
description This research investigates the integration of modular product design with generative design to enhance the reconfiguration and redesign of robotic arms within various industrial applications. By leveraging a knowledge graph-based system, this study aims to facilitate rapid and precise modifications of robotic arms to meet specific customer needs without having to create new products from the ground-up. A case study in the Electronics Industry is created utilizing the Openmanipulator-X robotic arm to illustrate the implementation of this hybrid system. The methodology adopted involves constructing a comprehensive knowledge graph that encapsulates customer preferences, component relationships, and engineering constraints, allowing for efficient recommendation, and prototyping of reconfigured robotic arms with optimized generative designs for unmatched modules from the knowledge-graph based reconfiguration approach. This approach promises to minimize production costs and time while maximizing the adaptability and efficacy of robotic manufacturing systems.
author2 Chen Chun-Hsien
author_facet Chen Chun-Hsien
Malhotra, Parth
format Final Year Project
author Malhotra, Parth
author_sort Malhotra, Parth
title Establishing a knowledge graph-based recommendation system for product family reconfiguration and redesign for a robotics-based use case
title_short Establishing a knowledge graph-based recommendation system for product family reconfiguration and redesign for a robotics-based use case
title_full Establishing a knowledge graph-based recommendation system for product family reconfiguration and redesign for a robotics-based use case
title_fullStr Establishing a knowledge graph-based recommendation system for product family reconfiguration and redesign for a robotics-based use case
title_full_unstemmed Establishing a knowledge graph-based recommendation system for product family reconfiguration and redesign for a robotics-based use case
title_sort establishing a knowledge graph-based recommendation system for product family reconfiguration and redesign for a robotics-based use case
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/177394
_version_ 1800916108370247680