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| Autori principali: | , , , , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2508.14893 |
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| _version_ | 1866912889316573184 |
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| author | Zhou, Qinhong Zhang, Hongxin Lin, Xiangye Zhang, Zheyuan Chen, Yutian Liu, Wenjun Zhang, Zunzhe Chen, Sunli Fang, Lixing Lyu, Qiushi Sun, Xinyu Yang, Jincheng Wang, Zeyuan Dang, Bao Chi Chen, Zhehuan Ladia, Daksha Dang, Quang Vinh Liu, Jiageng Gan, Chuang |
| author_facet | Zhou, Qinhong Zhang, Hongxin Lin, Xiangye Zhang, Zheyuan Chen, Yutian Liu, Wenjun Zhang, Zunzhe Chen, Sunli Fang, Lixing Lyu, Qiushi Sun, Xinyu Yang, Jincheng Wang, Zeyuan Dang, Bao Chi Chen, Zhehuan Ladia, Daksha Dang, Quang Vinh Liu, Jiageng Gan, Chuang |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_14893 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Virtual Community: An Open World for Humans, Robots, and Society Zhou, Qinhong Zhang, Hongxin Lin, Xiangye Zhang, Zheyuan Chen, Yutian Liu, Wenjun Zhang, Zunzhe Chen, Sunli Fang, Lixing Lyu, Qiushi Sun, Xinyu Yang, Jincheng Wang, Zeyuan Dang, Bao Chi Chen, Zhehuan Ladia, Daksha Dang, Quang Vinh Liu, Jiageng Gan, Chuang Computer Vision and Pattern Recognition Computation and Language Robotics 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. |
| title | Virtual Community: An Open World for Humans, Robots, and Society |
| topic | Computer Vision and Pattern Recognition Computation and Language Robotics |
| url | https://arxiv.org/abs/2508.14893 |