Untethered small-scale magnetic soft robot with programmable magnetization and integrated multifunctional modules

Author:

Dong Yue1ORCID,Wang Lu1,Xia Neng1ORCID,Yang Zhengxin1ORCID,Zhang Chong1ORCID,Pan Chengfeng1ORCID,Jin Dongdong1,Zhang Jiachen2ORCID,Majidi Carmel3ORCID,Zhang Li145ORCID

Affiliation:

1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.

2. Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.

3. Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.

4. Department of Surgery, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.

5. T Stone Robotics Institute, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China.

Abstract

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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