SOURCE-LINKED INTELLIGENCE
Grounded Action Model: 3D Grounding as a Foundation for Robotics
Manipulation policies must know which objects matter and where they are, yet the pretrained backbones that current robot foundation models build on, from language in vision-language-action models (VLAs) to video generation in world-action models (WAMs), do not directly require this metric grounding, leaving it to be learned implicitly from robot demonstrations. We propose Grounded Action Models (GAMs), a new paradigm of robot foundation models built with 3D grounding. GAM can be conditioned using language, points, or box prompts, which are first transformed into a shared object-centric represe
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-20T20:35:39.000Z
First collected: 2026-09-23T09:51:33.063Z. This is not the publication date.