Towards end-to-end optimization in multimaterial 3D printing
迈向多材料3D打印中的端到端优化
机构 * addressline= Sibley School of Mechanical ; Aerospace Engineering, Cornell University , city= Ithaca , state= NY , country= USA ; addressline= Department of Aerospace \& Mechanical Engineering, University of Southern California , city= Los Angeles , state= CA , country= USA ; addressline= Department of Materials Science ; Engineering, Technion - Israel Institute of Technology , city= Haifa , country= Israel ; addressline= Pasteur Labs , city= Brooklyn , state= NY , country= USA
专题命中 其他机器人 :robotic(abstract);分类 cs.RO
AI总结 针对多材料3D打印中优化空间材料分布与结构拓扑的难题,提出将稀疏物理增强神经网络与有限元拓扑优化集成的端到端框架,通过提取本构定律实现精确微分,应用于软机器人抓手,可取代经验原型制作,建立实用的机器学习设计模型。