Core Insights - UnrealZoo is a high-fidelity virtual environment platform designed to enhance research in embodied AI by providing over 100 diverse and realistic 3D scenes, facilitating various research needs [2][5][9] - The platform has been recognized with a Highlight Award at ICCV 2025, indicating its significance in the field [2] Group 1: Platform Features - UnrealZoo includes more than 100 high-quality, realistic scenes ranging from indoor settings to urban landscapes and natural environments, supporting a wide range of research applications [5][13] - The platform features 66 customizable embodied entities, including humans, animals, vehicles, and drones, allowing for interaction with both the environment and other agents [5][24] - It provides an easy-to-use Python interface and tools for data collection, environment enhancement, and distributed training, optimizing rendering and communication efficiency [7][15][42] Group 2: Research Implications - The platform addresses the limitations of existing simulators by offering a diverse and high-fidelity environment that enhances the adaptability and generalization capabilities of embodied agents in complex, dynamic settings [8][9] - Experiments conducted using UnrealZoo demonstrate the importance of environmental diversity in improving the generalization and robustness of agents, particularly in navigation and social interaction tasks [64][55] - The research highlights the challenges faced by current reinforcement learning and visual-language model-based agents in open-world scenarios, emphasizing the need for further development in these areas [8][64] Group 3: Future Directions - Future work will focus on expanding the variety of scenes, entities, and interaction tasks within UnrealZoo to further support the application of embodied AI in real-world scenarios [64]