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#large language models Open access Oct 2026

RoboHarness: A Simple Harness Outperforms VLA and World Action Models

The rise of large language models (LLMs) has opened a path toward generalist embodied AI, raising the question of how LLMs can act in the physical world. One straightforward approach is training the model to generate actions: collect robot-action data and video demonstrations, refine the LLM architecture with an action...

Bince Qu, Wei Chen, Bo Zhang · 0 citations

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