Bince Qu

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...