Multi‐Manipulator Collaboration Based on Topology Transformation

ABSTRACT For solving the problem of dynamic task topology change in multi‐manipulator cooperative system, a distributed control scheme based on topology transformation is proposed. In this scheme, a topological transformation mechanism is introduced so that the multi‐manipulator cooperative system dynamically adapts to the multi‐stage tasks with topological changes. To facilitate the solution of the problem, the distributed scheme is converted into an optimization problem. In addition, a gradient neural network solver with an activation function is designed, which greatly improves the convergence speed of the solver. Theoretical analysis is given, which confirms the convergence of the solver. Furthermore, the effectiveness of the proposed scheme is demonstrated.

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Publication Details

Journal
Computational Intelligence
Published
2025-10-28
DOI
https://doi.org/10.1111/coin.70151
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
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article

Multi‐Manipulator Collaboration Based on Topology Transformation

Liangxiong Chen, Mei Liu, Wenxin Mu
Computational Intelligence
Distributed Control Multi-Agent Systems
article

Multi‐Manipulator Collaboration Based on Topology Transformation

Liangxiong Chen, Mei Liu, Wenxin Mu
article en

Abstract

ABSTRACT For solving the problem of dynamic task topology change in multi‐manipulator cooperative system, a distributed control scheme based on topology transformation is proposed. In this scheme, a topological transformation mechanism is introduced so that the multi‐manipulator cooperative system dynamically adapts to the multi‐stage tasks with topological changes. To facilitate the solution of the problem, the distributed scheme is converted into an optimization problem. In addition, a gradient neural network solver with an activation function is designed, which greatly improves the convergence speed of the solver. Theoretical analysis is given, which confirms the convergence of the solver. Furthermore, the effectiveness of the proposed scheme is demonstrated.

Computational IntelligenceVol. 41(6)
Kunming University of Science and Technology (CN), Chinese University of Hong Kong (HK), Zhangjiakou Academy of Agricultural Sciences (CN)
Openalex Percentile: Top 63%
Distributed Control Multi-Agent Systems
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Multi‐Manipulator Collaboration Based on Topology Transformation — Liangxiong Chen, Mei Liu, et al. · Computational Intelligence (2025) | TGRS Research Map | TGRS