GRID empowers your robots with AI through state-of-the-art robot foundation models, high-fidelity simulation feedback, and ML processes that continually improve the system.
Synthetic and geo-specific environments coupled with diverse sensor models and robotic primitives.
Capture massive amounts of perception and action data to train intelligent robotic agents.
Curated set of AI models that target several common robotics tasks including perception, control, planning and safety.
Get to market faster with an open ecosystem to develop, train, validate, and deploy.
GRID Foundation Models are engineered to solve a myriad of AI centric robotic tasks. These include perception, state estimation, mapping, planning and control – all of which are core components in any robot autonomy pipeline. These models capture the structure of the physical world, how such physical reality is perceived via the different sensors, dynamics of the system and can understand the causal connection between action and change in the system state.
Bring your robots, environments and data to GRID and start building on day-one. GRID supports a variety of existing robot APIs and control stacks, reducing the time from idea to deployment. We offer documentation and integration services to help you along the way.