This is the authors' abstract. We don't add key points for this paper.
Flexible capacitive pressure sensors have attracted considerable attention for wearable electronics, intelligent robotics, and human-machine interfaces, yet achieving high sensitivity, broad pressure detection, and long-term stability remains challenging. Herein, carbon nanotubes (CNTs)-pinned porous polydimethylsiloxane (PDMS) foam composite dielectrics are developed via a facile one-step emulsion-templating strategy. The CNTs are preferentially distributed along the PDMS skeleton and pore walls, forming a CNTs-pinned architecture that is expected to reduce filler rearrangement during repeated deformation. Benefiting from the synergistic low-modulus and high-dielectric effect, the sensor achieves a pressure range of 0–450 kPa with sensitivities of 68.9 × 10–3 kPa–1, 18.9 × 10–3 kPa–1, and 8.7 × 10–3 kPa–1 in the low-, medium-, and high-pressure regions, respectively. It also exhibits a 31.3-fold enhancement in sensitivity over pristine PDMS, with a detection limit of 8.8 Pa, response/recovery times of 87/92 ms, and robust stability over 10,000 cycles. Furthermore, when integrated into a soft robotic gripper, three sensors achieve 99.4% accuracy in fruit-type classification and 99.7% accuracy in tomato storage-stage classification. This work provides a scalable strategy for engineering stable porous composite dielectrics and demonstrates the potential of tactile sensing for intelligent fruit monitoring and robotic manipulation.
No takes yet. Share an insight, caveat, or question.
Nie et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: