EmbodiedHubOpen Source Ecosystem
A collection of open-source projects and development tools that form the ecosystem for embodied AI and robotics research.
Ecosystem Snapshot
Leading Projects
GPU-accelerated photorealistic simulation platform from Stanford for household-level embodied AI tasks, powering the BEHAVIOR-1K benchmark.
Pioneering photorealistic simulation environment for embodied AI with 1,400+ real-world 3D indoor spaces, enabling virtual-to-real transfer for navigation and interaction.
Modular simulation framework for robot learning with 8 robot models, 50+ standardized manipulation tasks, and tight integration with robomimic for imitation learning.
Interactive 3D environment for visual AI from the Allen Institute for AI, featuring 120+ photorealistic indoor scenes with physics-enabled interactable objects.
MIT open-source library for robot dynamics, control, and optimization.
High-fidelity open-source robot simulator with physics engines and sensor simulation.
Industry Insights
This page aggregates open-source frameworks and tools that support embodied AI development, from robot learning libraries to simulation platforms. These projects lower the barrier to entry for robotics research by providing reusable infrastructure.
The collection covers robot learning frameworks (LeRobot), GPU-accelerated simulation environments (Isaac Lab), and embodied AI simulation platforms (Habitat).