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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
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.
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.

