Adaptive Actuation of Magnetic Soft Robots Using Deep Reinforcement Learning

Adaptive Actuation of Magnetic Soft Robots Using Deep Reinforcement Learning

Magnetic soft robots (MSRs) have attracted growing interest due to their unique advantages in untethered actuation and excellent controllability. However, actuation strategies of these robots have long been designed out of heuristics. Herein, it is aimed to develop an intelligent method to solve the...

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Bibliographic Details
Main Authors: Jianpeng Yao, Quanliang Cao, Yuwei Ju, Yuxuan Sun, Ruiqi Liu, Xiaotao Han, Liang Li
Format: Article
Language:English
Published: Wiley 2023-02-01
Series:Advanced Intelligent Systems
Subjects:
Cosserat rod model
deep reinforcement learning
magnetic actuation
magnetic soft robotics
magnetization
Online Access:https://doi.org/10.1002/aisy.202200339

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