4.7 Article

Optimal Soft Composites for Under-Actuated Soft Robots

期刊

ADVANCED MATERIALS TECHNOLOGIES
卷 6, 期 8, 页码 -

出版社

WILEY
DOI: 10.1002/admt.202100361

关键词

additive manufacturing; bio-inspired robots; composites; elastomers; soft robotics; topology optimization

资金

  1. A*STAR under its Science and Engineering Research Council (SERC) [1822500053]
  2. SUTD's Digital Manufacturing and Design (DManD) Centre
  3. SUTD's International Design Centre (IDC) [RGDM1620401, RGMD1620501, IDG31600101]
  4. AFOSR [19RT0543]

向作者/读者索取更多资源

Material properties and composite structures are crucial in shaping the performance of soft robots. A novel approach that allows design and direct fabrication of soft composite structures is presented, utilizing computational topology optimization and resilient silicone polymers for precise mechanical property tailoring. This approach has demonstrated significant swimming performance improvements in underwater soft robots, with optimized prototypes showing faster swimming speeds, turning rates, and smaller turning radii compared to un-optimized benchmark prototypes.
Material properties and composite structures play key roles in tailoring the performance of soft robots. Unfortunately, current design and fabrication approaches limit achievable complexity and functionality in these two categories and hinder soft robot performance. Here, an approach that allows design and direct fabrication of novel soft composite structures is presented. The process uses computational topology optimization to determine the required 3D composite structure of soft hyper-elastic bodies. The direct fabrication of the soft composite structures using an all-in-one fabrication workflow with resilient silicone polymers enables precise tailoring of mechanical properties. By applying this approach to the design and fabrication of an underwater batoid-inspired soft robot, significant swimming performance improvements is demonstrated. An optimized composite prototype displays 50% faster swimming speeds, 28% faster turning rates, and 55% smaller turning radii than un-optimized benchmark prototypes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据