Printed synaptic transistor-based electronic skin for robots to feel and learn

@article{Liu2022PrintedST,
  title={Printed synaptic transistor-based electronic skin for robots to feel and learn},
  author={Fengyuan Liu and Sweety Deswal and Adamos Christou and Mahdieh Shojaei Baghini and Radu Chirila and Dhayalan Shakthivel and Moupali Chakraborty and Ravinder Dahiya},
  journal={Science robotics},
  year={2022},
  volume={7 67},
  pages={
          eabl7286
        }
}
An electronic skin (e-skin) for the next generation of robots is expected to have biological skin-like multimodal sensing, signal encoding, and preprocessing. To this end, it is imperative to have high-quality, uniformly responding electronic devices distributed over large areas and capable of delivering synaptic behavior with long- and short-term memory. Here, we present an approach to realize synaptic transistors (12-by-14 array) using ZnO nanowires printed on flexible substrate with 100… 

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References

SHOWING 1-10 OF 56 REFERENCES

Stretchable elastic synaptic transistors for neurologically integrated soft engineering systems

A stretchable synaptic transistor fully based on elastomeric electronic materials, which exhibits a full set of synaptic characteristics, retained even the rubbery synapse that is stretched by 50%.

A Synaptic Transistor based on Quasi‐2D Molybdenum Oxide

N nanoscale three-terminal memristive transistors based on quasi-2D α-phase molybdenum oxide (α-MoO3 ) to emulate biological synapses are presented, providing insight into the potential application of 2D transition-metal oxides for synaptic devices with high scaling ability, low energy consumption, and high processing efficiency.

Tactile sensory coding and learning with bio-inspired optoelectronic spiking afferent nerves

An optoelectronic spiking afferent nerve with neural coding, perceptual learning and memorizing capabilities to mimic tactile sensing and processing is reported, providing a promising approach towards e-skin, neurorobotics and human-machine interaction technologies.

Ionic/Electronic Hybrid Materials Integrated in a Synaptic Transistor with Signal Processing and Learning Functions

A single hybrid transistor can replace presently utilized complex and energyconsuming electronic circuits to emulate the synapse for spike signal processing, learning, and memory, which could provide a new pathway to construct neuromorphic circuits approaching the scale and functions of the brain.

A neuro-inspired artificial peripheral nervous system for scalable electronic skins

The Asynchronously Coded Electronic Skin (ACES) is introduced—a neuromimetic architecture that enables simultaneous transmission of thermotactile information while maintaining exceptionally low readout latencies, even with array sizes beyond 10,000 sensors.

Nanowire active-matrix circuitry for low-voltage macroscale artificial skin.

This work presents the largest integration of ordered NW-array active components, and demonstrates a model platform for future integration of nanomaterials for practical applications.

25th Anniversary Article: The Evolution of Electronic Skin (E‐Skin): A Brief History, Design Considerations, and Recent Progress

Electronic networks comprised of flexible, stretchable, and robust devices that are compatible with large-area implementation and integrated with multiple functionalities is a testament to the progress in developing an electronic skin akin to human skin.

A bioinspired flexible organic artificial afferent nerve

Flexible organic electronics are used to mimic the functions of a biological afferent nerve and construct a hybrid bioelectronic reflex arc to actuate muscles that has potential applications in neurorobotics and neuroprosthetics.

Training and operation of an integrated neuromorphic network based on metal-oxide memristors

The experimental implementation of transistor-free metal-oxide memristor crossbars, with device variability sufficiently low to allow operation of integrated neural networks, in a simple network: a single-layer perceptron (an algorithm for linear classification).

Impact of Synaptic Device Variations on Pattern Recognition Accuracy in a Hardware Neural Network

Simulation of different synaptic device variation parameters in a designed neuromorphic system that has the potential for unsupervised learning and pattern recognition can provide guidelines for the continued design and optimization of a synaptic device for realizing a functional large-scale neuromorphic computing system.
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