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A Bioinspired Multifunctional Adhesive-Tactile E-Skin Enabled for Adaptive Grasping and Slip Detection.

Yuhao Zhu1,2, Ruoyi Liu1,2, Shuai Huang1,2

  • 1College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, Hunan, P. R. China.

ACS Applied Materials & Interfaces
|March 5, 2026
PubMed
Summary

This study introduces an electronic skin (e-skin) that combines tunable adhesion with tactile feedback for robotic grasping. This innovation allows robots to securely grip objects of varying fragility and weight, improving manipulation capabilities.

Keywords:
Electronic Skin (E-Skin)Robotic ManipulationSlip DetectionTactile PerceptionTunable Adhesion

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Area of Science:

  • Robotics
  • Materials Science
  • Biomimetics

Background:

  • Robotic grasping faces a challenge balancing strong adhesion with easy release, especially for delicate or heavy items.
  • Existing thermoresponsive adhesives lack real-time tactile feedback, hindering adaptive control in dynamic tasks.
  • Tree frog toe pads demonstrate a synergistic adhesive-tactile mechanism crucial for grip control.

Purpose of the Study:

  • To develop a multifunctional electronic skin (e-skin) that integrates tunable adhesion and tactile perception for closed-loop robotic manipulation.
  • To address the limitations of current robotic grasping systems by enabling adaptive control through sensory feedback.

Main Methods:

  • Fabrication of a temperature-regulated adhesive layer using a PDMA-co-LMA copolymer.
  • Development of a tactile perception layer using a clay-reinforced PDMA/ILs ionogel.
  • Integration of layers with a real-time slip detection algorithm for closed-loop control.

Main Results:

  • The adhesive layer demonstrated strong adhesion (143.46 kPa at 25 °C) and rapid release (96.23% reduction at 85 °C).
  • The tactile layer showed a wide linear range (0-300 kPa) and high sensitivity (13.129 kPa^-1).
  • The integrated system achieved over 95% success in preventing slip and object damage during manipulation tasks.

Conclusions:

  • The developed e-skin successfully merges tunable adhesion with tactile perception for robust robotic grasping.
  • This technology enables adaptive, nondestructive manipulation in dynamic environments, advancing intelligent robotic systems.
  • The biomimetic approach offers a promising strategy for future robotic grasping applications.