ICCV 2025 Highlight | 大规模具身仿真平台UnrealZoo

Core Insights - The article introduces UnrealZoo, a high-fidelity virtual environment platform designed to enhance research in embodied AI by providing over 100 diverse and realistic 3D scenes [5][12][72] - UnrealZoo aims to address the limitations of existing simulators by offering a flexible and rich training environment that supports various tasks and enhances the adaptability of AI agents in complex, dynamic settings [7][8][72] Summary by Sections Introduction to UnrealZoo - UnrealZoo is developed using Unreal Engine and includes over 100 high-quality, realistic scenes, ranging from indoor settings to large-scale industrial environments [5][12] - The platform features 66 customizable embodied entities, including humans, animals, and vehicles, allowing for diverse interactions and training scenarios [5][12] Purpose and Necessity - The rapid development of embodied AI necessitates a platform that can simulate diverse and high-fidelity environments to improve the adaptability and generalization of AI agents [7][8] - Existing simulators often limit the scope of AI training to specific tasks, hindering the development of agents capable of functioning in unpredictable real-world scenarios [7][8] Features of UnrealZoo - UnrealZoo provides a comprehensive set of tools, including an optimized Python API and enhanced communication protocols, to facilitate data collection, environment customization, and multi-agent interactions [5][48] - The platform supports various tasks such as visual navigation and active target tracking, demonstrating the importance of diverse training environments for improving model generalization [5][72] Experimental Results - Experiments conducted using UnrealZoo highlight the significant impact of environment diversity on the performance and robustness of AI agents, particularly in complex navigation and social interaction tasks [72] - Results indicate that while reinforcement learning methods show promise, there remains a substantial gap between AI agents and human performance in navigating intricate environments [72] Future Directions - The ongoing development of UnrealZoo will focus on expanding the variety of scenes, entities, and interaction tasks to further enhance the capabilities of embodied AI in real-world applications [72]