Neuro-encoded electronic skin

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-PF-GFID: 101111036
EC Contribution
€2,889
Consortium Size
3 orgs
Start Year
2023
Summary

Electronic skin (e-skin) is a fast-emerging soft system to provide tactile sensations like our own skin. However, most of the prototypes today focus on the integration of various sensors on flexible substrates, which can hardly be integrated neurologically onto biological systems nor used over a large area as sensing components for robots: this is mainly because of their mismatch in various aspects including mechanical softness, computing/encoding capability, power consumption.This proposal aims to bring a step-change by developing an e-skin truly rooted in biological systems: the proposed e-Skin will respond to external stimuli (e.g., force) and encode the sensory information in the form of action potentials, just as the biological systems (i.e., sensory neurons) do. This will be achieved by innovative fabrication of neuron circuit arrays over a large area using nanomaterials, and further interfaced with tactile sensors, all on the soft substrate.Such “bio-like” localised processing, offered by the soft system, greatly decreases the latency of the sensory data, necessary for the upscaling of the sensing pixels to achieve human-level tactile sensation. Furthermore, this paves the way for the interfacing between soft electronics and biology, triggering transformations in the next generation of neurorobotics, neuroprosthesis and interactive systems.

Consortium (3)

Project Results (7)

Source: CORDIS, the EU research results database.

Publications (6)
Cognizant and Socially Aware Robotics
Computer· 2025DOI
Fengyuan Liu, Lizy Kurian John, Ravinder Dahiya
Collective Optimization of Synthesis and Printing for Improved Performance of ZnO Nanowires Based Large-Area Printed Sensors
IEEE Sensors Letters· 2025DOI
Fengyuan Liu, Dhayalan Shakthivel, Adamos Christou, Leandro Lorenzelli, Ravinder Dahiya
From Printed Devices to Vertically Stacked, 3D Flexible Hybrid Systems
Advanced Materials· 2025DOI
Fengyuan Liu, Adamos Christou, Abhishek Singh Dahiya, Ravinder Dahiya
Stochastic Nature of Large‐Scale Contact Printed ZnO Nanowires Based Transistors
Advanced Functional Materials· 2025DOI
Fengyuan Liu, Adamos Christou, Radu Chirila, Luca De Pamphilis, Ravinder Dahiya
Toward all flexible sensing systems for next-generation wearables
Wearable Electronics· 2025DOI
Fengyuan Liu, Leandro Lorenzelli
Contact Printed ZnO Nanowires-Based Flexible Photosensitive Devices for Large Area Smart Sensing
IEEE Sensors Letters· 2024DOI
Fengyuan Liu, Adamos Christou, Dhayalan Shakthivel, Ravinder Dahiya
Deliverables (1)
Data Management Plan