Learning of soft-object models using graph neural networks

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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書目詳細資料
主要作者:	Zhang, Zihan
其他作者:	Cheah Chien Chern
格式:	Thesis-Master by Coursework
語言:	English
出版:	Nanyang Technological University 2025
主題:	Engineering
在線閱讀:	https://hdl.handle.net/10356/184317
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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