AI2-THOR
An open-source, near photo-realistic 3D simulation platform for training and evaluating embodied AI agents.
What is AI2-THOR?
AI2-THOR is an open-source, interactive 3D simulation platform developed for visual and embodied artificial intelligence research. It provides near photo-realistic environments where AI agents can learn to perform tasks like navigation, object manipulation, and scene understanding through realistic physics-based interactions. The framework is designed to facilitate training and evaluation of AI models in complex, household-like settings before deploying them in the real world.
Researchers and developers working on embodied AI, computer vision, robotics, and reinforcement learning who need high-fidelity simulation environments for training and testing intelligent agents.
AI2-THOR offers a uniquely rich and interactable simulation with extensive annotations, multiple agent types, and domain randomization tools, making it a preferred platform for cutting-edge embodied AI research and challenges.
Overview
An open-source platform for Visual AI.
Use Cases
Best For
- Training reinforcement learning agents for navigation and manipulation tasks
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
