Building Worlds That Train Robots
Capability change
World Labs announced that its generative world models, powered by the R2S2R engine from newly joined SceniX, can now simulate real-world robotic tasks to train policies with zero real-world data and evaluate their real-world performance.
The R2S2R engine combines real-to-sim reconstruction with sim-to-real transfer, enabling robots to learn manipulation tasks entirely in simulation and operate reliably on physical hardware.
