ERC Starting Grant · 2024
Structured Interactive Perception and Learning for Holistic Robotic Embodied Intelligence
Robot learning has made remarkable strides thanks to high-capacity neural models and extensive datasets. However, there are persisting research questions concerning large-scale robot learning models: are massive architectures and data needed for achieving robotic embodied intelligence to solve tasks intuitive to humans? And how can we make substantial progress toward robust and adaptive robot learning systems to operate in the dynamic real world? I posit that these open problems stem from overlooking the underlying principles and structure that govern the intricate robot-environment interaction and evolution. SIREN addresses these pressing issues by proposing a unique systemic view of robot…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.