GRUtopia: Dream General Robots in a City at Scale
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Abstract (arXiv)
Recent works have been exploring the scaling laws in the field of Embodied AI. Given the prohibitive costs of collecting real-world data, we believe the Simulation-to-Real (Sim2Real) paradigm is a crucial step for scaling the learning of embodied models. This paper introduces project GRUtopia, the first simulated interactive 3D society designed for various robots. It features several advancements: (a) The scene dataset, GRScenes, includes 100k interactive, finely annotated scenes, which can be freely combined into city-scale environments. In contrast to previous works mainly focusing on home, GRScenes covers 89 diverse scene categories, bridging the gap of service-oriented environments where general robots would be initially deployed. (b) GRResidents, a Large Language Model (LLM) driven Non-Player Character (NPC) system that is responsible for social interaction, task generation, and task assignment, thus simulating social scenarios for embodied AI applications. (c) The benchmark, GRBench, supports various robots but focuses on legged robots as primary agents and poses moderately challenging tasks involving Object Loco-Navigation, Social Loco-Navigation, and Loco-Manipulation. We hope that this work can alleviate the scarcity of high-quality data in this field and provide a more comprehensive assessment of Embodied AI research. The project is available at https://github.com/OpenRobotLab/GRUtopia.
Key facts. Cited by 54 papers in the map (data through 7 Oct 2026). Builds on 48 of its 57 references that are in the map. First posted on arXiv 15 Jul 2024.
Builds on
48 of 57 references.
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Citing papers per year: 2024: 3; 2025: 27; 2026: 24.
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- 2026MANSION: Multi-floor lANguage-to-3D Scene generatIOn for loNg-horizon tasks12 Mar 2026
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- 2026GuideFetch: A Task Coordination Framework for Concurrent Navigation and Object Retrieval in Assistive Robot Dogs18 Aug 2026
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- 2026NavVerse: Benchmarking Indoor-to-Outdoor Embodied Navigation in Continuous Robot Simulation22 Jul 2026
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