Contents Intro.

Learning from Demonstration (LfD) is a paradigm where humans demonstrate the procedure to perform complex tasks which can be used to train autonomous agents. However, the performance of LfD is highly sensitive to the quality of demonstrations which in turn depends on the user-interface. In this presentation, we propose the use of Virtual Reality (VR) to develop an intuitive interface that enables users to provide good demonstrations. We apply this approach to the task of training a visual attention system which is a crucial component for tasks such as autonomous driving and human-robot interaction. We show that interaction time of few minutes is sufficient to train a deep neural network to successfully learn attention strategies.

Details

Publication year

2018

Form

電子化映像資料（31分48秒）

Series title

情報科学領域・コロキアム ; 平成30年度

Note

講演者所属: Mathmatical Informatics Lab

講演日: 平成30年7月18日

講演場所: 情報科学棟大講義室L1

Country of publication

Japan

Title language

English (eng)

Language of texts

English (eng)

Author information

Koganti, Nishanth