Smart E-skins for Life-like Soft Robot Perception

SELECT aims to develop advanced electronic skins for soft robots to enhance sensory perception and improve human-robot interactions through innovative machine learning techniques.

Subsidie
€ 1.486.463
2024

Projectdetails

Introduction

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.

Importance of Sensory Intelligence

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.

Project Overview

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.

Objectives

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.

Expected Outcomes

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.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.486.463
Totale projectbegroting€ 1.486.463

Tijdlijn

Startdatum1-9-2024
Einddatum31-8-2029
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • THE UNIVERSITY OF EDINBURGHpenvoerder

Land(en)

United Kingdom

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