Bionic Perception of Surface Adhesion via a Magnetized Spring-like Sensor with Axial Stretchability.

Area of Science:

• Materials Science
• Robotics
• Biomimetics

Background:

• Human fingertip adhesion perception relies on skin vibrations.
• Flexible sensors face challenges in axial stretchability and electrical feedback for adhesion sensing.

Purpose of the Study:

• To develop a bionic three-dimensional flexible magnetized spring (3D-FMS) for quantitative surface adhesion recognition.
• To enable flexible sensors and robotic systems with human-like adhesion perception capabilities.

Main Methods:

• Fabrication of a 3D-FMS using laser processing for stretchable spring geometry.
• Utilizing electromagnetic induction to detect adhesion-induced mechanical elongation and electrical output.
• Establishing a linear model correlating adhesion strength with voltage signals.

Main Results:

• The 3D-FMS achieved high axial stretchability and bidirectional deformation.
• A linear relationship was demonstrated between adhesion strength and induced voltage.
• Optimized stiffness allowed for tailored sensing sensitivity and working range.

Conclusions:

• The 3D-FMS successfully quantifies surface adhesion via electromagnetic induction.
• Wearable tests and robotic integration show promise for bionic adhesion perception.
• This strategy advances 3D wearable devices and robotic systems with stickiness determination capabilities.