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...
محفوظ في:
المؤلف الرئيسي: | |
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مؤلفون آخرون: | |
التنسيق: | Thesis-Master by Research |
اللغة: | English |
منشور في: |
Nanyang Technological University
2024
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الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/177695 |
الوسوم: |
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المؤسسة: | Nanyang Technological University |
اللغة: | English |