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About A Robotic In-Hand Manipulation Dictionary Based On Human Data
This document discusses extracting motion primitives from human in-hand manipulation data to build a dictionary for robotic hands. It reviews two existing methods for extracting motion primitives - principal component analysis and non-negative matrix factorization. The document argues that non-negative matrix factorization is better suited for this application since it ensures only non-negative primitives are extracted and has been successfully used in other domains involving human motion analysis and non-negative data like images.
Detailed Information
| Author: | ['Alioune Badara Diouf'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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