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2017 Fiscal Year Final Research Report

Generalization using properties of the real world and autonomous division of state-action space

Research Project

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Project/Area Number 15K00316
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Intelligent informatics
Research InstitutionHosei University

Principal Investigator

ITO Kazuyuki  法政大学, 理工学部, 教授 (90346411)

Project Period (FY) 2015-04-01 – 2018-03-31
Keywords汎化 / 柔軟性 / ソフトロボット
Outline of Final Research Achievements

In this study, we focus on properties of the real world, and we propose a framework to realize adaptive behavior of a robot using properties of the real world. In addition, we propose a learning algorithm to improve the behavior by dividing the sate-action space.
As an example, we develop flexible robots, and an learning algorithm based on trial-and-error.

Free Research Field

知能ロボット

URL: 

Published: 2019-03-29  

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