Open X-Embodiment
A large cross-embodiment collection of robot trajectories from many institutions.
Practical index
A curated set of primary resources for studying and building Physical AI systems.
A large cross-embodiment collection of robot trajectories from many institutions.
A diverse real-world robot manipulation dataset collected across many scenes and operators.
A benchmark for lifelong robot learning with manipulation task suites.
A language-conditioned long-horizon manipulation benchmark.
A robotics simulation platform for synthetic data, training, and testing.
A full-stack functional-safety platform spanning IGX Thor, Halos OS, safety application blueprints, and inspection support.
Infrastructure-camera safety agents for robot zoning, perception monitoring, event integration, and safety decisions.
An open-source physics engine widely used for robotics and control research.
Open models, datasets, and tools for real-world robotics in PyTorch.
Open-source models and tooling from Physical Intelligence.
World foundation models, guardrails, tokenizers, and tooling for physical AI data generation.
Robot foundation model and data pipeline platform for humanoid and general-purpose robot learning.
A unified framework for robot learning research built around Isaac Sim.
Google DeepMind's embodied AI model family for visual reasoning and robot action.
Large-scale first-person video dataset for hand-object interaction, memory, forecasting, and social understanding.
Synchronized first-person and third-person skilled activity dataset with language, audio, gaze, pose, and 3D signals.
Open egocentric wearable-sensor dataset for contextual AI, robotics, and smart-glasses research.
API for generating, rendering, and exporting navigable 3D worlds from images, text, panoramas, and video.
Multimodal data operations for video, robotics, world models, and VLA training datasets.
Labeling and curation workflows for sensor, robotics, video, and computer-vision datasets.
Reference for image, video, sensor, and temporal annotation workflows used in AI data engines.
Open-source multimodal data labeling and evaluation tool for images, video, text, audio, and time series.