Collectively, the results demonstrate that the designed LFCIg appears unparalleled advantages and presents wide application potential in flexible robotics, e-skin and physiological signal monitoring. More impressively, the e-skin with tactile sensing functions is produced by in-situ 3D printing of sensor arrays on flexible electrodes to detect slight weight objects and recognize the resulting spatial pressure variations. Moreover, the conductive elastomer based on LFCIg have been developed into a stretchable strain sensor that achieves accurate response recognition, classification, and identification of different robot gestures. The double-network LFCIg is cross-linked by dynamic non-covalent bonds, which exhibits excellent mechanical properties (2100% strain while sustaining fracture strength of 1.23 MPa) and >90% self-healing efficiency, and others superb electrical conductivity of 23.3 mS m-1 and 3D printability. In this work, the liquid-free conductive ionogel (LFCIg) with excellent performance was fabricated by utilizing the innovative double network design approach based on deep eutectic solvent (DES).

Nonetheless, conductive elastomers typically exhibit prominent problems such as solvent volatilization and leakage, poor mechanical and conductive properties, which limit their applications in electronic skin (e-skin). First Online: 15 September 2022 5509 Accesses Part of the Lecture Notes in Computer Science book series (LNCS,volume 13431) Abstract Automatic classification of pigmented, non-pigmented, and depigmented non-melanocytic skin lesions have garnered lots of attention in recent years. Conductive elastomers with both softness and conductivity are widely used in the field of flexible electronics.

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