Design of Object Learning System by Using Random Forest, Convolutional Neural Network and Gated Recurrent Neural Network for Service Robot

Design of Object Learning System by Using Random Forest, Convolutional Neural Network and Gated Recurrent Neural Network for Service Robot

碩士 === 國立成功大學 === 電機工程學系 === 105 === Inspired by the self-exploring learning approach, this thesis proposes an object learning system in which the robot interacts with an object to obtain its features and constructs the object concept. The system consists of three kinds of features: interaction feat...

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Bibliographic Details
Main Authors:	Cheng-HuiLi, 李政輝
Other Authors:	Tzuu-Hseng Steve Li
Format:	Others
Language:	en_US
Published:	2017
Online Access:	http://ndltd.ncl.edu.tw/handle/nvz2ah

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