AgentRob: From Virtual Forum Agents to Hijacked Physical Robots
Wenrui Liu, Yaxuan Wang, Xun Zhang, Yanshu Wang, Jiashen Wei, Yifan Xiang, Yuhang Wang, Mingshen Ye, Elsie Dai, Zhiqi Liu, Yingjie Xu, Xinyang Chen, Hengzhe Sun, Jiyu Shen, Jingjing He, Tong Yang

TL;DR
AgentRob introduces a novel framework enabling autonomous virtual forum agents to interpret online commands and control physical robots, bridging online community interactions with real-world robotic actions.
Contribution
This work presents the first system that integrates LLM-powered forum agents with physical robots through the Model Context Protocol, enabling multi-agent coordination in online forums.
Findings
Multiple concurrent agents with distinct identities can co-exist in forums.
Forum-mediated commands can successfully control physical robots.
The framework demonstrates feasible multi-agent robot orchestration via online interactions.
Abstract
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…
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Taxonomy
TopicsMultimodal Machine Learning Applications · Social Robot Interaction and HRI · Robotics and Automated Systems
