An Artificial Motion and Tactile Receptor Constructed by Hyperelastic Double Physically Cross-Linked Silk Fibroin Ionoelastomer

被引:16
作者
Cao, Leitao [1 ]
Ye, Chao [1 ]
Zhang, Hao [1 ]
Yang, Shuo [1 ]
Shan, Yicheng [1 ]
Lv, Zhuochen [1 ]
Ren, Jing [1 ]
Ling, Shengjie [2 ]
机构
[1] ShanghaiTech Univ, Sch Phys Sci & Technol, 393 Middle Huaxia Rd, Shanghai 201210, Peoples R China
[2] Shanghai Clin Res & Trial Ctr, Shanghai 201210, Peoples R China
基金
中国国家自然科学基金;
关键词
silk fibroin; ionoelastomers; ionotronics; tactile perception; SPIDER SILK; TOUGH; HYDROGEL; POLYMER; ELASTOMER; MECHANISM; ADHESIVE; FRACTURE; DESIGN;
D O I
10.1002/adfm.202301404
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Ionotronic artificial motion and tactile receptor (i-AMTR) is essential to realize an interactive human-machine interface. However, an i-AMTR that effectively mimics the composition, structure, mechanics, and multi-functionality of human skin, called humanoid i-AMTR, is yet to be developed. To bridge this technological gap, this study proposes a strategy that combines molecular structure design and function integration to construct a humanoid i-AMTR. Herein, a silk fibroin ionoelastomer (SFIE) with double cross-linked molecular structure is designed to mimic the composition and structure of human skin, thereby resolving the conflict of stretchability, softness, and resilience, suffered by many previously reported ionotronics. Functionally, electromechanical sensing and triboelectricity-based tactile perception are integrated into SFIE, to enable simultaneous perception of both motion and tactile inputs. By further leveraging the machine learning and Internet of Things (IoT) techniques, the proposed SFIE-based humanoid i-AMTR precisely senses the movement of human body and accurately sortball objects made of different materials. Notably, the success rate for 610 sorting tests reaches as high as 92.3%. These promising results essentially demonstrate a massive potential of humanoid i-AMTR in the fields of sorting robots, rehabilitation medicine, and augmented reality.
引用
收藏
页数:12
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