Dong Yue, Wang Lu, Xia Neng, Yang Zhengxin, Zhang Chong, Pan Chengfeng, Jin Dongdong, Zhang Jiachen, Majidi Carmel, Zhang Li
Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.
Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Sci Adv. 2022 Jun 24;8(25):eabn8932. doi: 10.1126/sciadv.abn8932. Epub 2022 Jun 22.
Intelligent magnetic soft robots capable of programmable structural changes and multifunctionality modalities depend on material architectures and methods for controlling magnetization profiles. While some efforts have been made, there are still key challenges in achieving programmable magnetization profile and creating heterogeneous architectures. Here, we directly embed programmed magnetization patterns (magnetization modules) into the adhesive sticker layers to construct soft robots with programmable magnetization profiles and geometries and then integrate spatially distributed functional modules. Functional modules including temperature and ultraviolet light sensing particles, pH sensing sheets, oil sensing foams, positioning electronic component, circuit foils, and therapy patch films are integrated into soft robots. These test beds are used to explore multimodal robot locomotion and various applications related to environmental sensing and detection, circuit repairing, and gastric ulcer coating, respectively. This proposed approach to engineering modular soft material systems has the potential to expand the functionality, versatility, and adaptability of soft robots.
能够进行可编程结构变化和多功能模态的智能磁性软机器人依赖于材料架构和控制磁化分布的方法。虽然已经做出了一些努力,但在实现可编程磁化分布和创建异质架构方面仍然存在关键挑战。在这里,我们将编程磁化模式(磁化模块)直接嵌入到粘性贴纸层中,以构建具有可编程磁化分布和几何形状的软机器人,然后集成空间分布的功能模块。功能模块包括温度和紫外线感应颗粒、pH感应片、油感应泡沫、定位电子元件、电路箔和治疗贴片薄膜,被集成到软机器人中。这些测试平台分别用于探索多模态机器人运动以及与环境传感与检测、电路修复和胃溃疡涂层相关的各种应用。这种提出的工程模块化软材料系统的方法有可能扩展软机器人的功能、通用性和适应性。