Accelerating Physical AI: Embodied Intelligence for the Next Frontier of AI-Powered Robotics
Pays physical-AI robotics teams a fixed EUR 300,000 lump-sum grant to validate a prototype and then build it into a real-world-tested system.
The project itself runs in two stages: Stage 1 refines and validates a TRL 4+ prototype in a relevant environment, builds a performance-assessment methodology, and secures end-user commitment; Stage 2 (contingent on Stage 1 milestones and a full follow-on proposal) builds and tests an integrated, autonomous solution up to TRL 6-7, addressing scalability, certification and a commercialisation roadm…
This EIC Advanced Innovation Challenge backs disruptive Physical AI systems — robots and embodied AI that perceive, learn and act autonomously in complex real-world settings — showing at least two of: intelligent perception, adaptive learning, autonomous decision-making, human-AI collaboration, or physical integration innovation (new sensors, actuators, materials). Proposals must target at least one of three application areas: disaster response and civil security robotics, autonomous labs for scientific discovery, or personal/professional robot assistants.
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Guides for this application
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