Multifunctional Soft Robotic Finger Based on a Nanoscale Flexible Temperature-Pressure Tactile Sensor for Material...

Area of Science:

• Robotics
• Materials Science
• Sensor Technology

Background:

• Robotic hands require tactile perception for advanced operations like material recognition.
• Nanowire-based sensors offer high sensitivity, fast response, and low power consumption, making them ideal for flexible tactile sensors.

Purpose of the Study:

• To design and develop a multifunctional soft robotic finger with an integrated nanoscale temperature-pressure tactile sensor.
• To enable material recognition capabilities in soft robotic systems.

Main Methods:

• Integrated a nanowire-based temperature sensor and a conductive sponge pressure sensor into a flexible tactile sensor.
• Measured temperature change rate and contact pressure simultaneously.
• Utilized artificial neural networks to process tactile information for material recognition.

Main Results:

• Achieved high sensitivity for the nanoscale temperature sensor (1.196%/°C) and conductive sponge pressure sensor (13.29%/kPa).
• The soft finger successfully recognized four metals within three pressure ranges and 13 materials within a high pressure range.
• Achieved high material recognition accuracies of 92.7% and 95.9% using combined tactile information and artificial neural networks.

Conclusions:

• The developed multifunctional soft robotic finger demonstrates significant potential for precise material recognition.
• The integrated nanoscale tactile sensor provides crucial data for advanced robotic perception.
• This technology advances the capabilities of soft robotics in handling and identifying diverse materials.