CORDIS Project
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The SIREN project explores how robots can learn and adapt in dynamic environments by integrating their actions and perceptions. It aims to develop a framework that enhances robot intelligence through a holistic understanding of robot-environment interactions, enabling robots to perform complex tasks in human-like setti…
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 overlo…
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