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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| 格式: | Thesis-Master by Coursework |
| 語言: | English |
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Nanyang Technological University
2025
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| 在線閱讀: | https://hdl.handle.net/10356/184317 |
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| 機構: | Nanyang Technological University |
| 語言: | English |