Agent as Policy for Robotic Manipulation

• 类型：arxiv
• 标识：2609.12541
• 链接：https://arxiv.org/abs/2609.12541
• 主分类：agent
• 形态：method
• TLDR：We demonstrate that a general-purpose agent can directly drive a physical robot throughout task execution without any task-specific or environment-specific training. We introduce Agent as Policy (AGP), which places task planning and execution under the agent's control. Given a task and a robot interface, the agent interprets visual evidence, writes executable programs, issues motion commands, and revises its actions in response to physical outcomes. This brings the agent's reasoning and programming capabilities into continuous interaction with the physical world. We study AGP across multiple r
• 待LLM分类：否
• 来源文件：
• /inbox/tom/_candidates/2026-09-15-agent-rag-longcontext-candidates.json