Bioinspired flexible piezoresistive sensor with cross-gradient architecture for high-performance tactile sensing

Area of Science:

• Materials Science
• Biomedical Engineering
• Robotics

Background:

• Flexible tactile sensors are crucial for advanced applications in biomedicine and human-computer interaction.
• Optimizing tactile sensors for both high performance (sensitivity, detection range) and stability remains a significant challenge.
• Existing sensors often struggle to meet the demands for simultaneous high sensitivity and durability.

Purpose of the Study:

• To develop an innovative flexible tactile sensor with enhanced performance and stability.
• To address the limitations of current tactile sensors in achieving simultaneous high sensitivity and response stability.
• To create a bioinspired sensor architecture for superior tactile perception.

Main Methods:

• Constructed a flexible tactile sensor using a novel cross-tilted gradient (CTG) architecture, inspired by snake scales.
• Developed MXene/PET electrodes with high friction resistance, conductivity, and adhesion using plasma treatment and a direct-write system.
• Integrated an ultra-dense sensing point design with a multi-gradient structural compensation mechanism.

Main Results:

• Achieved high sensitivity of 2.116 kPa⁻¹ and a wide detection range of 511.11 kPa.
• Demonstrated excellent response characteristics with a response time of 8 ms and long-term stability (>8500 cycles).
• The sensor exhibited no significant signal drift, indicating robust operational stability.

Conclusions:

• The bioinspired CTG tactile sensor offers a promising solution for high-performance, stable tactile sensing.
• The sensor's capabilities enable comprehensive human posture sensing and high-precision multi-tactile information perception.
• This advancement facilitates effective human-machine interaction and opens new avenues for flexible electronic applications.