What is the impact of VLA model scale (7B vs 13B) on object grounding accuracy and path completion rate in Lon

Abstract

Abstract: Embodied AI is widely recognized as a cornerstone of artificial general intelligence (AGI) because it involves controlling embodied agents to perform tasks in the physical world. Building on the success of large language models (LLMs) and vision-language models (VLMs), a new category of multimodal models-referred to as vision-language-action (VLA) models-has emerged to address language-conditioned robotic tasks in embodied AI by leveraging their distinct ability to generate actions. The recent proliferation of VLAs necessitates a comprehensive survey to capture the rapidly evolving landscape.

Research Question

What is the impact of VLA model scale (7B vs 13B) on object grounding accuracy and path completion rate in LongNav-R1 on R2R-CE under varying instruction complexity?

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