Meet X2Real—a sim-to-real benchmark for generalist robot policies, built on @NVIDIARobotics Isaac Lab-Arena - an open-source framework for scalable policy evaluation in simulation.

X2Real evaluates 10 capability dimensions across 44 hierarchical, long-horizon tasks—from visual and language reasoning to fine manipulation, bimanual collaboration and tool use.

Policies are tested across 3 OOD axes: environment appearance, task settings and robot embodiment.

On policies trained only with real-world data, X2Real achieves a 0.84 linear correlation between simulation and real-world evaluation scores.

Powered by our Physical DSL, the platform creates an agent-driven loop from task composition and environment compilation to policy rollout and trajectory evaluation.

Explore X2Real:
https://developer.x2robot.com/developer/platform

#PhysicalAI #Robotics #EmbodiedAI #Sim2Real