AI2-THOR is a comprehensive AI development framework that enables physical simulation for objects and scenes, supporting multiple agent types and dynamic interactions in 3D environments.

AI2-THOR stands at the forefront of AI development frameworks, offering an unparalleled environment for physical simulation and interaction within 3D scenes. This platform is built on Unity 3D, providing a robust foundation for simulating a wide range of objects and environments with high fidelity. With over 120 rooms in iTHOR, including kitchens, bedrooms, bathrooms, and living rooms, and more than 2000 unique objects, AI2-THOR offers a rich dataset for training and testing AI models. The framework supports various object states such as open/close, on/off, and hot/cold, enabling complex interactions and scenarios. Additionally, AI2-THOR accommodates multiple agent types, including humanoids and drones, and allows for the presence of multiple agents in a single scene, facilitating advanced research in multi-agent systems. The RoboTHOR component extends the platform's capabilities by providing both physical and simulated counterparts for 14 apartments, utilizing the LoCoBot robot equipped with a Kinect camera. This modular approach to environment construction, drawing from an extensive asset library, ensures that both simulation and real environments are easily accessible and reconfigurable. AI2-THOR's commitment to advancing AI research is further evidenced by its continuous updates, such as the introduction of headless rendering for easier use on computing clusters and the release of ManipulaTHOR, an environment dedicated to visual manipulation of objects using a robotic arm. With its comprehensive features and ongoing enhancements, AI2-THOR is an essential tool for researchers and developers aiming to push the boundaries of AI and robotics.