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Self-Powered Neuromorphic Touch Sensors Based on Triboelectric Devices: Current Approaches and Open Challenges
Fabrizio Torricelli1, Giuseppina Pace2
1Department of Information Engineering, University of Brescia, Brescia, Italy.
Small (Weinheim an Der Bergstrasse, Germany)
|January 31, 2026
Summary
This review explores self-powered tactile sensors using triboelectric nanogenerators (TENGs) integrated with neuromorphic devices. These systems offer energy-efficient artificial perception for robotics and human-machine interfaces.
Area of Science:
- Neuromorphic Engineering
- Artificial Perception
- Sensory Systems
Background:
- Tactile perception is vital for replicating human somatosensation and motor control.
- Advanced neuromorphic systems require energy-efficient, self-powered sensors for artificial perception.
- Triboelectric nanogenerators (TENGs) offer a promising avenue for self-powered sensing.
Purpose of the Study:
- To review the integration of TENG-based tactile sensors with neuromorphic devices.
- To discuss various integration architectures, operational modes, and neuromorphic functions.
- To highlight strategies for enhancing performance and energy efficiency in self-powered tactile systems.
Main Methods:
- Systematic review of current approaches for coupling TENGs with artificial synapses and neurons.
- Analysis of integration architectures (ex situ, discrete circuit, direct gating, monolithic).
- Discussion of operational modes (displacement-driven, pulse-driven) and neuromorphic functions (plasticity, memory, logic-in-memory).
Main Results:
- Various integration strategies enable TENGs to power and interact with neuromorphic devices.
- TENG-neuromorphic systems demonstrate capabilities like short- and long-term plasticity, memory, and logic-in-memory computing.
- Signal generation, transduction, and performance enhancement strategies are crucial for efficiency.
Conclusions:
- The integration of TENGs with neuromorphic devices is key to developing self-powered artificial somatosensory platforms.
- Challenges remain in achieving sustainable, low-power, and multifunctional systems.
- Future research should focus on overcoming these challenges for advanced artificial perception.
Keywords:
neuromorphic sensorself‐powered sensorstactile sensortriboelectrictribotransistortribotronicMore Related Videos
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