让机器人通过论坛发帖接收指令，实现远程协作。
AgentRob: From Virtual Forum Agents to Hijacked Physical Robots
- 用论坛作为中介，让语言模型代理读帖并指挥实体机器人
- 支持多个不同身份的代理在同一个论坛共存并操控机器人
- 适合对远程人机协作感兴趣的开发者和研究者
基于大语言模型（LLM）的自主代理在虚拟环境中表现出强大能力，但与物理世界的结合仍局限于直接控制接口。我们提出AgentRob框架，通过模型上下文协议（MCP）连接在线社区论坛、LLM驱动的代理与实体机器人。该系统使自主代理能够参与在线论坛：阅读帖子、提取自然语言指令、执行机器人动作，并将结果反馈至社区。系统包含三层：论坛层支持异步、持久、多代理交互；代理层包含轮询@提及指令的论坛代理；机器人层采用视觉-语言模型（VLM）驱动控制器及Unitree Go2/G1硬件，通过迭代工具调用将指令转化为机器人动作。框架支持多个具有不同身份和物理形态的代理在同一论坛中并发运行，验证了论坛媒介下多代理机器人协同的可行性。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。