強化学習によるロボットハンドの把握制御

DOI Web Site Web Site 参考文献16件

書誌事項

タイトル別名
  • Grasping Control of a Robot Hand by Reinforcement Learning
  • キョウカ ガクシュウ ニ ヨル ロボットハンド ノ ハアク セイギョ

この論文をさがす

説明

It is very useful to apply a reinforcement learning for controlling a robot hand with tactile sensors which can grasp and manipulate an object delicately like a human hand. A reinforcement learning based on trial and error is proposed here, which is expected to learn autonomously the optimum manipulation from experiences. In computer simulations, the learning algorithm is applied to controlling a simple hand with two fingers and four fingers to investigate its validity . As a result, it has acquired autonomously almost the optimum control for the manipulation of the hand to grasp and convey an object. Therefore, the learning algorithm proposed may be useful basically for controlling a robot hand.

収録刊行物

参考文献 (16)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ