Shypd.aiThe largest open index of AI toolsHabitat-Lab is an open-source library for embodied AI research that enables training agents across various tasks and environments. It supports flexible task definitions and diverse embodied agents, including commercial robots and humanoids.
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Habitat-Lab is a modular, high-level library designed for end-to-end development in embodied AI. It facilitates the training of AI agents to perform a wide array of tasks in indoor environments, such as navigation, rearrangement, instruction following, and human interaction. The library supports flexible task definitions, allowing users to create novel single and multi-agent tasks. It also enables the configuration and instantiation of diverse embodied agents, including commercial robots and humanoids, with customizable sensors and capabilities. Habitat-Lab provides algorithms for single and multi-agent training through imitation or reinforcement learning, along with tools for benchmarking performance. It also includes a framework for human-in-the-loop interaction, enabling data collection and interaction with trained agents. The library uses Habitat-Sim as its core simulator and offers extensive documentation and baselines.
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