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In-sensor computing breakthrough enables efficient tactile information acquisition

Authors: Ziqi Wang; Hu Liu; Chunfeng Wang

DOI: 10.1007/s40843-025-3847-5Status: Verified Translated Edition
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Key Findings in This Report

• • The capacitive in-sensor tactile computing system achieves a sensitivity of 0.36 nF/kPa, enabling precise pressure detection for robotic and prosthetic applications. • • By performing MAC operations directly in the charge domain, the system eliminates analog-to-digital conversion and data transmission, reducing power consumption and latency critical for real-time e-skin use. • • The 3×3 kernel with programmable bias voltages implements averaging and Laplacian filters, demonstrating noise reduction and edge detection on tactile patterns, with experimental outputs matching simulations. • • The system processes analog stimuli with multiple pressure levels (0.8, 1.6, 2 kPa), showing proportional output voltage, which is essential for nuanced tactile feedback in human-machine interfaces.