MotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot Manipulation

类型：arxiv
标识：2609.38078
链接：https://arxiv.org/abs/2609.38078
主分类：multimodal
形态：method
TLDR：Vision-language-action (VLA) models have advanced robotic manipulation, but their zero-shot generalization in new tasks and environments remains limited, and their reliance on specialized training keeps them from benefiting directly from rapidly advancing general-purpose vision-language models (VLMs). In parallel, recent agentic robotic systems leverage VLMs for high-level reasoning or coding agents for robot control, but often depend on extensive external models and tools, introducing additional complexity and cost. This motivates us to ask: Can a general-purpose VLM itself operate a robot mo
副分类：agent
待LLM分类：否
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arXiv

2609.38078

TLDR

Vision-language-action (VLA) models have advanced robotic manipulation, but their zero-shot generalization in new tasks and environments remains limited, and their reliance on specialized training keeps them from benefiting directly from rapidly advancing general-purpose vision-language models (VLMs). In parallel, recent agentic robotic systems leverage VLMs for high-level reasoning or coding agents for robot control, but often depend on extensive external models and tools, introducing additional complexity and cost. This motivates us to ask: Can a general-purpose VLM itself operate a robot mo

MotorMind: Scaffolding General Vision Language Models for Zero-Shot Robot Manipulation

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