Imagination-to-Real revolutionizes robot learning by supplying them with realistic, varied, and geometrically precise visual data.

By combining Generative AI and traditional physics simulators, we generate synthetic datasets boasting extensive variability. This allows robots to train on tasks previously considered too intricate or costly to simulate.

We invite developers, researchers, and enthusiasts to join the Imagination-to-Real open-source project.

Participate in the Imagination-to-Real open-source sprint! Here