A High-Efficient Reinforcement Learning Approach for Dexterous Manipulation

A High-Efficient Reinforcement Learning Approach for Dexterous Manipulation

Robotic hands have the potential to perform complex tasks in unstructured environments owing to their bionic design, inspired by the most agile biological hand. However, the modeling, planning and control of dexterous hands remain unresolved, open challenges, resulting in the simple movements and re...

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Bibliographic Details
Main Authors: Jianhua Zhang, Xuanyi Zhou, Jinyu Zhou, Shiming Qiu, Guoyuan Liang, Shibo Cai, Guanjun Bao
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Biomimetics
Subjects:
adaptive trajectory planning kernel
dynamic model
reinforcement learning
generative adversarial architecture
Online Access:https://www.mdpi.com/2313-7673/8/2/264

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https://www.mdpi.com/2313-7673/8/2/264

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