AIBullisharXiv – CS AI · 9h ago7/10
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What Objects Enable, Not What They Are: Functional Latent Spaces for Affordance Reasoning
Researchers introduce A4D, a machine learning system that enables robots to reason about object functionalities rather than appearances for planning tasks. The approach achieves 94% inference accuracy on existing affordances and over 90% on new affordances while requiring significantly less training data, addressing a fundamental limitation in current robot planning systems.