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 a novel deep reinforcement learning (DRL) control algorithm based on neural network modeling. Using the Whale Optimization Algorithm, an approximate dynamic model for the soft manipulator is established. The twin delayed deterministic policy gradient is employed for DRL control. Domain randomization is applied during pretraining in a simulated environment. The algorithm addresses issues related to dependency on measurement data quality and redundant mappings, outperforming other methods by 8–15 mm in control accuracy. The trained DRL controller achieves precise trajectory tracking within the soft manipulator's task space, enabling successful grasping tasks in various complex environments, including pipelines and other narrow spaces. Experimental results confirm the autonomy of our controller in performing these tasks without human intervention.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
A Cable‐Actuated Soft Manipulator for Dexterous Grasping Based on Deep Reinforcement Learning ; day:29 ; month:08 ; year:2024 ; extent:15
Advanced intelligent systems ; (29.08.2024) (gesamt 15)

Creator
Zhou, Kunyu
Mao, Baijin
Zhang, Yuzhu
Chen, Yaozhen
Xiang, Yuyaocen
Yu, Zhenping
Hao, Hongwei
Tang, Wei
Li, Yanwen
Liu, Houde
Wang, Xueqian
Wang, Xiaohao
Qu, Juntian

DOI
10.1002/aisy.202400112
URN
urn:nbn:de:101:1-2408291431256.982992535242
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:20 AM CEST

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Associated

  • Zhou, Kunyu
  • Mao, Baijin
  • Zhang, Yuzhu
  • Chen, Yaozhen
  • Xiang, Yuyaocen
  • Yu, Zhenping
  • Hao, Hongwei
  • Tang, Wei
  • Li, Yanwen
  • Liu, Houde
  • Wang, Xueqian
  • Wang, Xiaohao
  • Qu, Juntian

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