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ソフトロボティクス設計最適化arXiv:2610.24209

CROPS: 生体医療応用向け軟質細長プログラム可能材料システムのCosseratロッドベース共同設計

CROPS: Cosserat-Rod-Based Co-Design of Soft Slender Programmable Material Systems for Biomedical Applications

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Cosseratロッド表現と微分可能最適化を用い、膨潤ステントや磁気カテーテルの材料配置と駆動を患者個別形状に合わせて自動設計するフレームワークを提案。

著者: Aaditya Chandrasekhar, Dex Doksoo Lee, Hyunwoo Kwon, Shicheng Li, Wei Chen

分類: cs.CE, cs.RO

原文アブストラクト

Slender structures made of stimuli-responsive materials represent an emerging class of programmable material systems, with applications in soft robotics, minimally invasive surgery, wearable electronics, and deployable structures. In biomedical applications, the on-demand design of slender structures, encompassing both their material layout and actuation, is essential to harnessing their large deformation and multiphysics actuation to meet patient-specific design requirements. However, owing to geometric and material nonlinearities, their structure-actuation-response relationship is highly nonintuitive and computationally demanding. This often makes trial-and-error and conventional design approaches challenging for addressing patient-specific needs. To this end, we present a Cosserat-rod-based design optimization framework for the autonomous design of programmable slender structures. Leveraging the Cosserat rod representation, the end-to-end differentiable framework is demonstrated on two case studies: (i) design of swellable stents that morph to the shape of carotid vessels; (ii) co-design of the remnant magnetization and the applied field of magnetically-active catheters to reduce the force exerted on the patient-specific vessel wall during insertion. Both self-contact and external contact with surrounding structures are accounted for. We consider two actuation mechanism, namely the swelling of gel-elastomer composites and the magnetic actuation of hard-magnetic composites. The proposed framework presents an autonomous design platform of soft slender material systems that support large deformations and multiphysics actuation toward personalized biomedical design.

関連論文

PR本紙発行元 EmplifAI