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DIRECT: Distributed Intelligence for REsilient Collaborative roboTics in Extreme Environments

Objectif

Robots hold great potential to support humans in extreme environments—such as post-disaster zones—where conditions are hazardous, unpredictable, and often lack reliable connectivity. Their capacity to operate in dangerous or inaccessible areas makes them crucial for search and rescue, damage assessment, and emergency response. Yet, conventional robotic systems often struggle in such contexts due to limited adaptability, fragile autonomy, and insufficient coordination. Challenges like degraded sensor inputs, dynamic unstructured terrains, GPS-denied environments, and constrained communications further hinder their effectiveness. While embodied AI has significantly enhanced the perception and action capabilities of individual robots, its focus has largely remained on single-agent systems. Achieving efficient multi-robot collaboration under uncertain, real-time, and bandwidth-limited conditions remains a major research frontier. The DIRECT project tackles these challenges by developing an innovative distributed machine learning framework that enables a fleet of robots to collaboratively perceive, reason, plan, and act in extreme environments.

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Mots‑clés

Programme(s)

Thème(s)

Régime de financement

HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff Exchanges

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Appel à propositions

(s’ouvre dans une nouvelle fenêtre) HORIZON-MSCA-2025-SE-01

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Coordinateur

UNIVERSITY OF WARWICK
Contribution nette de l'UE
€ 300 600,00
Adresse
KIRBY CORNER ROAD UNIVERSITY HOUSE
CV4 8UW COVENTRY
Royaume-Uni
Région
West Midlands (England) West Midlands Coventry
Type d’activité
Higher or Secondary Education Establishments
Liens
Coût total
Aucune donnée

Participants (13)

Partenaires (5)