Artificial Tactile Perception System for Exploring Internal and External Features of Objects via Time-Frequency...

Area of Science:

• Robotics
• Materials Science
• Sensor Technology

Background:

• Accurate object recognition and manipulation in robotics require perception of both external and internal features.
• Current artificial tactile perception systems face challenges in accuracy and efficiency due to reliance on single signal processing paradigms.
• Active contact can modulate mechanical interactions, enabling targeted perception of specific object properties.

Purpose of the Study:

• To present a flexible piezoelectric tactile sensing device with active perception capabilities.
• To demonstrate the device's effectiveness in extracting tactile information for object recognition and manipulation.
• To advance tactile interaction paradigms in robotics.

Main Methods:

• Development of a flexible piezoelectric tactile sensing device with active exploration motions (sliding and vibration).
• Characterization of the device's performance, including force sensitivity (<0.02 N), multi-axis responsiveness, wide frequency response (>2000 Hz), and high spectral resolution (<1 Hz).
• Integration of the device onto a robotic dexterous hand for task demonstration.

Main Results:

• The active tactile sensor successfully extracts edge features using time-domain spike characteristics.
• Internal object contents are inferred via frequency-domain decay trends.
• The device demonstrated effectiveness in texture recognition, liquid identification, and shows promise for complex interaction tasks.

Conclusions:

• The developed piezoelectric tactile sensor with active perception enhances robotic tactile sensing capabilities.
• This technology provides a foundation for more intuitive and adaptable robotic perception in human-centered environments.
• The study contributes to advancing tactile interaction paradigms in robotics.