Luminescent Tactile Sensor System for Robots: Enhancing Human-Computer Interaction in Complex Dark Environments.

Area of Science:

• Robotics and Human-Computer Interaction
• Materials Science and Sensor Technology

Background:

• Robots require human-like tactile perception for effective interaction and collaboration.
• Traditional tactile sensors face challenges with complex wiring, high costs, and demanding environments.

Purpose of the Study:

• To propose a novel, low-cost, flexible tactile sensor based on the triboluminescence effect.
• To investigate the relationship between luminescence intensity and sensor design parameters.
• To demonstrate the sensor's capability for object recognition in dark environments.

Main Methods:

• Development of a flexible sensor utilizing the triboluminescence effect.
• Analysis of luminescence intensity influenced by particle content, layer thicknesses (luminescent, encapsulation, friction).
• Integration of a micro charge-coupled device with the sensor for optical data collection.
• System testing on a robot manipulator for environmental perception and object identification.

Main Results:

• A simple, low-cost, and easily prepared flexible tactile sensor was successfully developed.
• The study established correlations between luminescence intensity and key sensor design factors.
• The integrated system effectively acquired and fed back shape and size information of objects in darkness.
• Successful identification and judgment of target objects in complex, dark environments were achieved.

Conclusions:

• The triboluminescence-based tactile sensor offers a viable alternative to traditional complex sensor systems.
• The developed system demonstrates potential for intelligent object recognition in human-robot interaction.
• This technology provides a foundation for applications in areas like unmanned assembly lines and dark environment operations.