Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/185940
DC Field | Value | |
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dc.title | AN INTELLIGENT ROBOTIC DISASSEMBLY SYSTEM BASED ON AUGMENTED REALITY | |
dc.contributor.author | GONG LEILIANG | |
dc.date.accessioned | 2021-01-28T18:00:25Z | |
dc.date.available | 2021-01-28T18:00:25Z | |
dc.date.issued | 2020-07-24 | |
dc.identifier.citation | GONG LEILIANG (2020-07-24). AN INTELLIGENT ROBOTIC DISASSEMBLY SYSTEM BASED ON AUGMENTED REALITY. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/185940 | |
dc.description.abstract | The proposed Projection-based AR-assisted Intelligent Robotic Disassembly System aims to teach industrial robot to disassemble end-of-life products with the assistance of human expertise based on a projection-based AR platform. AR is an enabling technology to realize human-robot interaction and collaboration. Disassembly sequence generation algorithm is developed and implemented on the AR-based human disassembly guidance platform. Deep neural network is constructed and trained for the human motion prediction during human task demonstration which can provide task performance checking as visual feedback to the human operator. | |
dc.language.iso | en | |
dc.subject | robotic disassembly, augmented reality, human-robot interaction, 3D object recognition | |
dc.type | Thesis | |
dc.contributor.department | MECHANICAL ENGINEERING | |
dc.contributor.supervisor | Soh Khim Ong | |
dc.contributor.supervisor | Nee Yeh Ching, Andrew | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY (CDE-ENG) | |
dc.identifier.orcid | 0000-0003-4302-1592 | |
Appears in Collections: | Ph.D Theses (Open) |
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GONGLL.pdf | 1.82 MB | Adobe PDF | OPEN | None | View/Download |
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