arxiv arXiv cs.LG · 92d ago · research

Geometric Action Model for Robot Policy Learning

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The Geometric Action Model (GAM) enables robot policies to reason about 3D physical interactions by repurposing a pretrained geometric foundation model. GAM splits the GFM to serve as both an observation encoder and a causal future predictor, then routes predicted future geometry and actions through the same backbone, achieving accurate, robust, and efficient manipulation performance in simulation and real-robot benchmarks.

Importance 3/3 Beats a top-lab benchmark New feature vs. leaders New harness with differentiators arXiv cs.LG Microsoft Research Cognition NVIDIA Reasoning models Robotics Training methods

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