Growing imperative for intelligent transformation of electro-ionic actuators in soft robotics has necessitated self-perception for accurately mapping their nonlinear dynamic responses. Despite the promise of integrating crack-based strain sensors for such a purpose, significant challenges remain in controlling crack propagation to prevent the induction of through-cracks, resulting in lower sensitivity, linearity, and poor detection limits. Herein, we propose a hierarchical crack-based synergistic enhancement structure by incorporating conductive poly(pyrrole)-coated polystyrene nanospheres and TiCT MXene to induce cross-long sensing cracks via point-to-plane contacts, along with silver nanowires for positively engineering networked microcracks for linearity tuning. The prepared microstrain sensor achieves high linearity (GF = 152.4, R = 0.99) regulation within ∼6% strain range, ultralow detection limit of 0.02%, and ultrafast response/recovery time of 31 ms/32 ms under 0.2%. Notably, state-of-the-art sensing performance by detecting minimal strain changes down to one millionth, i.e., ∼1 microstrain, has been demonstrated by voiceprint recognition, while maintaining superior dynamic measurement capability and long-term stability for mechanical vibrations up to 100 Hz with a response time of 5 ms. Moreover, the introduction of an adhesive and cross-linking layer facilitates robust bonding between the actuator and sensing structure, enabling real-time tracking of the actuation strain without structural interference by a resistance change resolution of 0.01%, providing significant insights for empowering soft robotics with integrated perception and intelligence.
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Zhenjin Xu
Wei Xiao
Keqi Deng
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Xu et al. (Fri,) studied this question.
www.synapsesocial.com/papers/6975b38dfeba4585c2d6f023 — DOI: https://doi.org/10.1021/acssensors.4c03572">https://doi.org/10.1021/acssensors.4c03572</a></p