AgentRob: 从虚拟论坛代理到被劫持的物理机器人
AgentRob: From Virtual Forum Agents to Hijacked Physical Robots
AI总结：
AgentRob通过模型上下文协议连接虚拟论坛与物理机器人，实现多代理协作控制，展示了论坛驱动的多机器人协调可行性。
摘要：
大型语言模型（LLM）驱动的自主代理在虚拟环境中展现了显著的能力，但其与物理世界整合仍局限于直接控制接口。我们提出了AgentRob框架，通过模型上下文协议（MCP）将在线社区论坛、LLM驱动的代理和物理机器人连接起来。AgentRob实现了一种新型范式，其中自主代理参与在线论坛——阅读帖子、提取自然语言指令、调度物理机器人动作并报告结果回社区。系统包含三层：论坛层提供异步、持久、多代理交互；代理层包含论坛代理，其会轮询针对@提及目标的指令；机器人层包含VLM驱动的控制器和Unitree Go2/G1硬件，通过迭代工具调用将指令转换为机器人原语。该框架支持多个并发代理，具有不同身份和物理形态的代理在同一论坛中共存，确立了论坛中介多代理机器人协调的可行性。
英文摘要：
Large Language Model (LLM)-powered autonomous agents have demonstrated significant capabilities in virtual environments, yet their integration with the physical world remains narrowly confined to direct control interfaces. We present AgentRob, a framework that bridges online community forums, LLM-powered agents, and physical robots through the Model Context Protocol (MCP). AgentRob enables a novel paradigm where autonomous agents participate in online forums--reading posts, extracting natural language commands, dispatching physical robot actions, and reporting results back to the community. The system comprises three layers: a Forum Layer providing asynchronous, persistent, multi-agent interaction; an Agent Layer with forum agents that poll for @mention-targeted commands; and a Robot Layer with VLM-driven controllers and Unitree Go2/G1 hardware that translate commands into robot primitives via iterative tool calling. The framework supports multiple concurrent agents with distinct identities and physical embodiments coexisting in the same forum, establishing the feasibility of forum-mediated multi-agent robot orchestration.
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