Bio-Inspired spiking tactile sensing system for robust texture recognition across varying scanning speeds in passive touch
1Institute of Medical Science and Technologies, SR.C, Islamic Azad University, Tehran, Iran. fyavari2022a@gmail.com.
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Summary
This study introduces a novel bio-inspired tactile sensor that accurately identifies texture and speed simultaneously. The system achieves 93% accuracy, offering a robust solution for robotic and prosthetic applications.
Area of Science:
- Robotics and Artificial Intelligence
- Neuroscience and Bio-inspired Engineering
Background:
- Tactile sensing is vital for texture recognition, but scanning speed variations complicate accurate discrimination.
- Scanning speed affects texture-induced vibration frequencies, requiring effective speed encoding methods.
Purpose of the Study:
- To develop a bio-inspired spiking tactile sensing system for joint texture and velocity encoding.
- To enable tactile recognition in both active and passive touch without external speed sensors.
Main Methods:
- Integrated mechanoreceptor responses with coincidence detector neurons.
- Leveraged spike timing information from mechanoreceptors for encoding.
- Introduced Gaussian noise to evaluate model robustness.
Main Results:
- Achieved 93% accuracy in jointly classifying texture and speed.
- Demonstrated stable accuracy with minimal degradation under varying noise levels.
- The system functions effectively in both active and passive touch scenarios.
Conclusions:
- The proposed system offers a biologically plausible solution for real-world tactile sensing challenges.
- Provides a robust framework for texture recognition in prosthetics, robotic hands, and autonomous systems.