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        <identifier>oai:figshare.com:article/33882710</identifier>
        <datestamp>2026-09-17T10:03:49Z</datestamp>
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          <dc:title>Iontronic Triboelectric
Sensing for Adaptive Robotic
Perception before and during Contact</dc:title>
          <dc:creator>Jiaxin Guo (2626273)</dc:creator>
          <dc:creator>Yan Du (229593)</dc:creator>
          <dc:creator>Zhong Lin Wang (1273431)</dc:creator>
          <dc:creator>Di Wei (1866922)</dc:creator>
          <dc:subject>Biophysics</dc:subject>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Neuroscience</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>Mental Health</dc:subject>
          <dc:subject>triggered signal generation</dc:subject>
          <dc:subject>powered multimodal platform</dc:subject>
          <dc:subject>optimized surface microstructuring</dc:subject>
          <dc:subject>iontronic triboelectric sensor</dc:subject>
          <dc:subject>iontronic triboelectric sensing</dc:subject>
          <dc:subject>electronic carrier transport</dc:subject>
          <dc:subject>electron transport alone</dc:subject>
          <dc:subject>resolving haptic interactions</dc:subject>
          <dc:subject>exploits coupled ionic</dc:subject>
          <dc:subject>preventing unified tele</dc:subject>
          <dc:subject>2 &lt;/ sub</dc:subject>
          <dc:subject>adaptive robotic perception</dc:subject>
          <dc:subject>robotic hand</dc:subject>
          <dc:subject>ionic liquid</dc:subject>
          <dc:subject>adaptive grasping</dc:subject>
          <dc:subject>target tele</dc:subject>
          <dc:subject>loop tele</dc:subject>
          <dc:subject>haptic perception</dc:subject>
          <dc:subject>separation mode</dc:subject>
          <dc:subject>material pre</dc:subject>
          <dc:subject>intrinsically limited</dc:subject>
          <dc:subject>independently applied</dc:subject>
          <dc:subject>enables closed</dc:subject>
          <dc:subject>embodied intelligence</dc:subject>
          <dc:subject>electrode mode</dc:subject>
          <dc:subject>composite dielectric</dc:subject>
          <dc:subject>autonomous robotics</dc:subject>
          <dc:subject>achieving 91</dc:subject>
          <dc:description>Adaptive
robotic manipulation requires sensing systems
capable
of both anticipating contact and resolving haptic interactions. Existing
triboelectric sensors operate through electron transport alone and
are intrinsically limited to contact-triggered signal generation,
preventing unified tele-perception and haptic perception. Here we
introduce an iontronic triboelectric sensor (ITS) that exploits coupled
ionic and electronic carrier transport to stabilize triboelectric
charge generation while extending electrostatic perception beyond
physical contact. Based on a PVDF-ionic liquid-TiO&lt;sub&gt;2&lt;/sub&gt; composite
dielectric with optimized surface microstructuring, the ITS enables
haptic pressure sensing over 0–70 kPa in the contact-separation
mode and human-target tele-perception up to 1.1 m in the single-electrode
mode. The same 1D-CNN is independently applied, achieving 91.3% accuracy
for material pre-recognition before contact and 90.28% accuracy for
material recognition during contact. Integrated with a robotic hand,
the ITS enables closed-loop tele-perception–haptic perception–action
feedback for adaptive grasping, providing a self-powered multimodal
platform for embodied intelligence and autonomous robotics.</dc:description>
          <dc:date>2026-09-17T00:00:00Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Media</dc:type>
          <dc:identifier>10.1021/acs.nanolett.6c03434.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/media/Iontronic_Triboelectric_Sensing_for_Adaptive_Robotic_Perception_before_and_during_Contact/33882710</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
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