Integrating force-based manipulation primitives with deep visual servoing for robotic assembly

This paper explores the idea of combining Deep Learning-based Visual Servoing and dynamic sequences of force-based Manipulation Primitives for robotic assembly tasks. Most current peg-in-hole algorithms assume the initial peg pose is already aligned within a minute deviation range before a tight-cle...

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書目詳細資料
主要作者: Lee, Yee Sien
其他作者: Pham Quang Cuong
格式: Final Year Project
語言:English
出版: Nanyang Technological University 2022
主題:
在線閱讀:https://hdl.handle.net/10356/157880
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