Robotic grasping of novel objects based on a feature detection algorithm trained on minimal data
In recent years, the integration of deep learning into robotic grasping algorithms has allowed for widespread advancements in this field. Most of the current deep learning-based grasping algorithms must be trained on huge amounts of data to deal with a large variety of objects. However, it is ineffi...
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主要作者: | Khor, Kai Sherng |
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其他作者: | Cheah Chien Chern |
格式: | Thesis-Master by Research |
語言: | English |
出版: |
Nanyang Technological University
2024
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在線閱讀: | https://hdl.handle.net/10356/177695 |
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