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Author

Peng-Fei Wang

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Open access 2026

Learning viscoplastic constitutive behavior via physics-informed recurrent neural network

A novel physics-informed recurrent neural network (PIRNN) model has been developed for data-driven constitutive modeling of metallic materials under high-strain-rate loading. The proposed PIRNN framework integrates a gated recurrent unit (GRU) network and a fully connected neural network to capture the rate-dependent s...

Qiang Chen, Xu-Yang Zhang, Xue-Feng Chen et al. · 0 citations
2026

Stiffness Control of Cable-Driven Continuum Robots Based on Null Space Tension Optimization

The inherent compliance of cable-driven continuum robots (CDCRs) enables safe interaction but often degrades manipulation accuracy and payload capacity. To address this trade-off, this article proposes a novel variable stiffness control (VSC) framework that exploits actuation redundancy for stiffness regulation. Unlike...

Tao-Wen Guo, Chen Zhao, Xin-Liang Li et al. · 0 citations

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