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| Funder | European Commission |
|---|---|
| Recipient Organization | The University of Edinburgh |
| Country | United Kingdom |
| Start Date | Sep 01, 2024 |
| End Date | Aug 31, 2029 |
| Duration | 1,825 days |
| Number of Grantees | 1 |
| Roles | Coordinator |
| Data Source | European Commission |
| Grant ID | 101165927 |
Nature, through millennia of evolution, has endowed living organisms with unmatched sensory adaptability.
As robotics weave more deeply into the fabric of human society, a compelling challenge emerges: mimicking the sensory intelligence intrinsic to these life forms.
The intricate synergy between the organism’s skin and brain, delivering unrivalled sensory insight and data interpretation, epitomises a domain in robotics still uncharted.
Cultivating such perceptive sense in robots is crucial; it heralds a future with enhanced safety and adaptability in human-robot interactions, revealing new horizons for innovative applications.SELECT aims to bridge this perception gap in soft robotics – a rapidly evolving robotic field inspired by the softness of living beings.
At the heart of SELECT lies the ambition to pioneer smart electronic skins (e-skins) that resonate with the sensory capability of organisms. SELECT's objectives include:1. Develop multi-modal e-skins for holistic perception.2. Build models to simulate the integration of e-skins and robots.3. Explore automated, adaptive e-skin designs.4.
Advance learning algorithms to decode e-skin data.5.
Streamline e-skin deployment and training.SELECT's outcomes promise to redefine soft robot perception, synergising e-skin sensory attributes with state-of-the-art machine learning.
Beyond advancing robotics, SELECT envisions reshaping our interaction dynamics with intelligent systems, championing a new epoch of human-machine symbiosis.
The University of Edinburgh
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