AgentRob: From Virtual Forum Agents to Hijacked Physical Robots
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 30 of its 52 references that are in the map. First posted on arXiv 14 Feb 2026.
Builds on
30 of 52 references.
Closest ancestors · 3
Same direction, newest first
- 2023A Survey on Large Language Model based Autonomous Agents22 Aug
- 2023AgentBench: Evaluating LLMs as Agents7 Aug
- 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society31 Mar
Other references · 27
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- 2023RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Controlcited by 2,993
- 2024OpenVLA: An Open-Source Vision-Language-Action Modelcited by 2,777
- 2022Do As I Can, Not As I Say: Grounding Language in Robotic Affordancescited by 2,302
- 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,037
- 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 1,908
- 2023AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversationcited by 1,906
- 2023ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIscited by 1,880
- 2023Gorilla: Large Language Model Connected with Massive APIscited by 1,302
15 more
- 2023HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Facecited by 1,173
- 2023ChatDev: Communicative Agents for Software Developmentcited by 893
- 2023VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Modelscited by 733
- 2022Socratic Models: Composing Zero-Shot Multimodal Reasoning with Languagecited by 513
- 2022LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Actioncited by 435
- 2022VIMA: General Robot Manipulation with Multimodal Promptscited by 403
- 2023Language to Rewards for Robotic Skill Synthesiscited by 307
- 2022Social Simulacra: Creating Populated Prototypes for Social Computing Systemscited by 300
- 2025AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Societycited by 180
- 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agentscited by 76
- 2020A Decade of Social Bot Detectioncited by 48
- 2023ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Applicationcited by 48
- 2024What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detectioncited by 24
- 2024BotSim: LLM-Powered Malicious Social Botnet Simulationcited by 21
- 2024Sleeper Social Bots: a new generation of AI disinformation bots are already a political threatcited by 3
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