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Extra-Soft Tactile Sensor for Sensitive Force/Displacement Measurement with High Linearity Based on a Uniform
Na Ni1, Xiaomin Xue2, Dongbo Li1
1School of Science, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Materials (Basel, Switzerland)
|April 30, 2021
Summary
Researchers developed novel soft tactile sensors using uniform-strength cantilever beams. These sensors can simultaneously measure normal displacement and force in soft objects, offering high linearity and sensitivity for robotics and healthcare applications.
Area of Science:
- Robotics
- Materials Science
- Biomedical Engineering
Background:
- Soft sensing systems are crucial for soft robots and healthcare.
- Existing thin-film sensors struggle with linear measurement of normal displacement.
- A need exists for sensors capable of measuring both displacement and force in soft materials.
Purpose of the Study:
- To propose and fabricate novel soft tactile sensors.
- To enable simultaneous measurement of normal displacement and force.
- To overcome limitations of thin-film sensors in linearity for displacement measurement.
Main Methods:
- Development of a theoretical model for uniform-strength cantilever beam sensors.
- Fabrication of the proposed soft tactile sensors.
- Experimental testing to validate the theoretical model and characterize sensing performance.
Main Results:
- The fabricated sensors accurately measure both displacement and force, validating the theoretical model.
- The sensors exhibit ultra-soft properties with low equivalent stiffness (0.31 N·m⁻¹).
- High linearity (R² = 0.999), sensitivity (0.533 pF·mm⁻¹ for displacement, 1.66 pF·mN⁻¹ for force), and low detection limits (70 μm, 20 μN) were achieved.
Conclusions:
- The developed soft tactile sensors offer a new approach for measuring force and displacement in soft objects.
- These sensors demonstrate superior performance characteristics, including linearity and sensitivity.
- Broad application prospects exist in mechanical and medical fields, particularly for soft robotics and healthcare.

