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科学研究費補助金 基盤研究(S):2014-2018
ヒューマノイド系列による行為観察と対人反復に基づく身体・道具環境・行動様式の獲得
研究者のグループでは,物体操作と歩行移動だけでなく多様な全身行動が可
能な人間型ロボットであるヒューマノイドを知能ロボットの一般形ととらえ,
小型から等身大,関節駆動型から筋骨格型まで,それら全てに共通に利用可能
な知能ロボットカーネルを構成してきた.
また,模倣の構成論的研究として,箒などの道具操作を観察し,人,道具,道
具で操作される対象への注視点を順次制御する注視機構を内在させ,身体対応
による動作模倣のレベルから行動プランナ機能による目的レベル模倣を行って
きた.さらに,人がロボットの傍にいて人からの制止や誘導に対応できる注意
誘導機能と全身受動性をそなえた等身大ヒューマノイドへと進めてきている.
本研究は,このような大きさも構造も異なるヒューマノイド系列の研究にお
いて,身体・道具環境・行動様式のモデルを与えることでその多様な行動実現
が可能となるシステム構成法研究の成果の上に,与える形ではなくロボット自
体がいかに獲得できる形で行動実現の再構成が可能となるかを,人間が提示す
る操作から学ぶ「行為観察」と,人から評価を得られる形でロボットが反復習
得を行う「対人反復」,人間がロボットの行動に直接介入して評価を伝える
「割込修正」というプロセスを通して行う獲得問題を取り上げ,実ヒューマノ
イドにおいて身体・道具環境・行動様式が変わっても適切に順応対応してゆけ
るようにする仕組みの基本構成原理とその評価を実証的に明らかにすることを
目的とする.
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Masaki Murooka, Ryohei Ueda, Shunichi Nozawa, Yohei Kakiuchi, Kei Okada, Masayuki Inaba:
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Noriaki Takasugi, Kunio Kojima, Shunichi Nozawa, Yohei Kakiuchi, Kei Okada, Masayuki Inaba:
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