Position Control of Cable-Driven Robotic Soft Arm Based on Deep Reinforcement Learning

Position Control of Cable-Driven Robotic Soft Arm Based on Deep Reinforcement Learning

The cable-driven soft arm is mostly made of soft material; it is difficult to control because of the material characteristics, so the traditional robot arm modeling and control methods cannot be directly applied to the soft robot arm. In this paper, we combine the data-driven modeling method with th...

Full description

Bibliographic Details
Main Authors: Qiuxuan Wu, Yueqin Gu, Yancheng Li, Botao Zhang, Sergey A. Chepinskiy, Jian Wang, Anton A. Zhilenkov, Aleksandr Y. Krasnov, Sergei Chernyi
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Information
Subjects:
cable-driven
reinforcement learning
soft arm
data-driven
deep Q learning
Online Access:https://www.mdpi.com/2078-2489/11/6/310

Internet

https://www.mdpi.com/2078-2489/11/6/310

Similar Items