ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Artificial Tactile Perception System for Exploring Internal and External Features of Objects via Time-Frequency Features.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Bioinspired Rheological Sensing for Robotic Liquid Identification in Sealed Containers via Ultrafast Incipient Slip Detection.Advanced materials (Deerfield Beach, Fla.) · 2026Article
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Authors and funding
9 authors.
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Abstract
Perceiving both external and internal object features is essential for accurate recognition and manipulation of humans and robots. However, relying on a single signal processing paradigm may hinder the extraction of specific tactile information from structurally similar signals, posing challenges in both accuracy and computational efficiency in artificial tactile perception systems. Active contact offers a means to modulate the mechanical interaction between tactile systems and objects, enabling targeted perception of specific properties. This work presents a flexible piezoelectric tactile sensing device with active perception capability. It exhibits high force sensitivity (<0.02 N), multi-axis responsiveness, a wide frequency response range (upper than 2000 Hz), and high spectral resolution (<1 Hz). With two distinct active exploration motions (sliding and vibration), the system extracts edge features through time-domain spike characteristics and infers internal contents via frequency-domain decay trends. The device is integrated on the fingertip of a robotic dexterous hand, demonstrating its effectiveness in tasks such as texture recognition and liquid identification. It also shows promise for handling complex interaction tasks involving multiple subtasks. This study contributes to the advancement of tactile interaction paradigms in robotics and provides a foundation for more intuitive and adaptable robotic perception in human-centered environments.
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Registered trials
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