What Objects Enable, Not What They Are: Functional Latent Spaces for Affordance Reasoning 事件

What Objects Enable, Not What They Are: Functional Latent Spaces for Affordance Reasoning arXiv:2606.05533v1 Announce Type: cross Abstract: Existing robot planning systems rely on appearance-based reasoning, where visual observations are encoded into latent spaces organized around object appearances (e.g., recognizing a "cart" based on how it looks). However, planning requires reasoning about task-relevant functionalities of objects (e.g., whether an object is "movable"), which appearance-based