Acquisition of Viewpoint Transformation and Action Mappings via Sequence to Sequence Imitative Learning by Deep Neural Networks

We propose an imitative learning model that allows a robot to acquire positional relations between the demonstrator and the robot, and to transform observed actions into robotic actions. Providing robots with imitative capabilities allows us to teach novel actions to them without resorting to trial-...

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Bibliographic Details
Main Authors: Ryoichi Nakajo, Shingo Murata, Hiroaki Arie, Tetsuya Ogata
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-07-01
Series:Frontiers in Neurorobotics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2018.00046/full