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.
@article{arxiv.2602.13591,
title = {AgentRob: From Virtual Forum Agents to Hijacked Physical Robots},
author = {Wenrui Liu and Yaxuan Wang and Xun Zhang and Yanshu Wang and Jiashen Wei and Yifan Xiang and Yuhang Wang and Mingshen Ye and Elsie Dai and Zhiqi Liu and Yingjie Xu and Xinyang Chen and Hengzhe Sun and Jiyu Shen and Jingjing He and Tong Yang},
journal= {arXiv preprint arXiv:2602.13591},
year = {2026}
}