Dexterous Object Manipulation with an Anthropomorphic Robot Hand via Natural Hand Pose Transformer and Deep Reinforcement Learning

Dexterous object manipulation using anthropomorphic robot hands is of great interest for natural object manipulations across the areas of healthcare, smart homes, and smart factories. Deep reinforcement learning (DRL) is a particularly promising approach to solving dexterous manipulation tasks with...

詳細記述

書誌詳細

主要な著者:	Patricio Rivera Lopez, Ji-Heon Oh, Jin Gyun Jeong, Hwanseok Jung, Jin Hyuk Lee, Ismael Espinoza Jaramillo, Channabasava Chola, Won Hee Lee, Tae-Seong Kim
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-12-01
シリーズ:	Applied Sciences
主題:	anthropomorphic robot hand dexterous object manipulation natural hand pose deep reinforcement learning transformer network
オンライン･アクセス:	https://www.mdpi.com/2076-3417/13/1/379
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!