English

Virtual Community: An Open World for Humans, Robots, and Society

Computer Vision and Pattern Recognition 2026-02-10 v3 Computation and Language Robotics

Abstract

The rapid progress in AI and Robotics may lead to a profound societal transformation, as humans and robots begin to coexist within shared communities, introducing both opportunities and challenges. To explore this future, we present Virtual Community-an open-world platform for humans, robots, and society-built on a universal physics engine and grounded in real-world 3D scenes. With Virtual Community, we aim to enable the study of embodied social intelligence at scale. To support these, Virtual Community features: 1) An open-source multi-agent physics simulator that supports robots, humans, and their interactions within a society; 2) A large-scale, real-world aligned community generation pipeline, including vast outdoor space, diverse indoor scenes, and a community of grounded agents with rich characters and appearances. Leveraging Virtual Community, we propose two novel challenges. The Community Planning Challenge evaluates multi-agent reasoning and planning ability in open-world settings, such as cooperating to help agents with daily activities and efficiently connecting other agents. The Community Robot Challenge requires multiple heterogeneous robots to collaborate in solving complex open-world tasks. We evaluate various baselines on these tasks and demonstrate the challenges in both high-level open-world task planning and low-level cooperation controls. We hope that Virtual Community will unlock further study of human-robot coexistence within open-world environments.

Keywords

Cite

@article{arxiv.2508.14893,
  title  = {Virtual Community: An Open World for Humans, Robots, and Society},
  author = {Qinhong Zhou and Hongxin Zhang and Xiangye Lin and Zheyuan Zhang and Yutian Chen and Wenjun Liu and Zunzhe Zhang and Sunli Chen and Lixing Fang and Qiushi Lyu and Xinyu Sun and Jincheng Yang and Zeyuan Wang and Bao Chi Dang and Zhehuan Chen and Daksha Ladia and Quang Vinh Dang and Jiageng Liu and Chuang Gan},
  journal= {arXiv preprint arXiv:2508.14893},
  year   = {2026}
}

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website https://virtual-community-ai.github.io/