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arXiv 2408.06002cs.RO
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多模态软气动执行器的生成式设计

Generative Design of Multimodal Soft Pneumatic Actuators

Indian Institute of Technology Delhi(印度德里理工学院)

Saswath Ghosh, Sitikantha Roy

AI总结:

针对软执行器数据驱动设计缺乏公开数据的问题,本研究构建Pneu-net执行器合成数据集,用高斯混合模型生成多模态新型设计,经有限元分析验证性能,可加速软机器人设计。

摘要:

机器学习技术的最新进展推动我们迈向数据驱动的产品设计。受此目标启发,本研究提出一种自动化设计方法,采用数据驱动方法生成软执行器的全新设计。数据驱动自动化设计流程的瓶颈之一是缺乏可公开获取的训练数据。鉴于数据不足,本研究构建了一个软气动网络(Pneu-net)执行器合成数据集。通过数据增强生成用于训练生成模型的参数化设计数据集。随后,应用高斯混合模型生成新型Pneu-net执行器参数化设计,采用基于距离的指标定义生成设计的新颖性与多样性。此外值得注意的是,该模型具备生成可实现面内弯曲和面外扭转的多模态Pneu-net执行器的潜力。之后,对新型设计进行有限元分析以评估生成设计的质量。此外,通过各类Pneu-net执行器的运动轨迹评估生成的Pneu-net执行器性能,凸显了多模态驱动的必要性。所提模型可通过从构建的新型软执行器库中选取软执行器,加速新型软机器人的设计进程。

英文摘要:

The recent advancements in machine learning techniques have steered us towards the data-driven design of products. Motivated by this objective, the present study proposes an automated design methodology that employs data-driven methods to generate new designs of soft actuators. One of the bottlenecks in the data-driven automated design process is having publicly available data to train the model. Due to its unavailability, a synthetic data set of soft pneumatic network (Pneu-net) actuators has been created. The parametric design data set for the training of the generative model is created using data augmentation. Next, the Gaussian mixture model has been applied to generate novel parametric designs of Pneu-net actuators. The distance-based metric defines the novelty and diversity of the generated designs. In addition, it is noteworthy that the model has the potential to generate a multimodal Pneu-net actuator that could perform in-plane bending and out-of-plane twisting. Later, the novel design is passed through finite element analysis to evaluate the quality of the generated design. Moreover, the trajectory of each category of Pneu-net actuators evaluates the performance of the generated Pneu-net actuators and emphasizes the necessity of multimodal actuation. The proposed model could accelerate the design of new soft robots by selecting a soft actuator from the developed novel pool of soft actuators.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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