Learning synergies based in-hand manipulation with reward shaping

In-hand manipulation is a fundamental ability for multi-fingered robotic hands that interact with their environments. Owing to the high dimensionality of robotic hands and intermittent contact dynamics, effectively programming a robotic hand for in-hand manipulations is still a challenging problem....

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Bibliographic Details
Main Authors: Zhen Deng, Jian Wei Zhang
Format: Article
Language:English
Published: Wiley 2020-06-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0094