A Cable‐Actuated Soft Manipulator for Dexterous Grasping Based on Deep Reinforcement Learning

A Cable‐Actuated Soft Manipulator for Dexterous Grasping Based on Deep Reinforcement Learning

The growing interest in the flexibility and operational capabilities of soft manipulators in confined spaces emphasizes the need for precise modeling and accurate motion control. Conventional control methods encounter difficulties in modeling and involve intricate computations. This work introduces...

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Bibliographic Details
Main Authors: Kunyu Zhou, Baijin Mao, Yuzhu Zhang, Yaozhen Chen, Yuyaocen Xiang, Zhenping Yu, Hongwei Hao, Wei Tang, Yanwen Li, Houde Liu, Xueqian Wang, Xiaohao Wang, Juntian Qu
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Advanced Intelligent Systems
Subjects:
deep reinforcement learning
dexterous grasping
model‐free control
neural networks
soft manipulators
Online Access:https://doi.org/10.1002/aisy.202400112

Internet

https://doi.org/10.1002/aisy.202400112

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