Learning of soft-object models using graph neural networks
In the field of soft-object modeling, the motion prediction of deformable linear objects (DLOs) has long been a critical challenge in robotic control and automation systems. However, DLO deformation exhibits high nonlinearity, influenced by material properties, external forces, and other factors, ma...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2025
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| Online Access: | https://hdl.handle.net/10356/184317 |
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| Institution: | Nanyang Technological University |
| Language: | English |