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Robot Policy Evaluation on LIBERO-Plus Spatial

100Success Rate (Bg.)X-VLA
64.53673.74382.9592.157Jun 28, 2026

Evaluation results

MethodLinks
X-VLA2026.0610024.582.1—93.891.463.577.7
π02026.069570.767.9—9449.187.778.6
A2World-policyPre-training Strategy=T-pre (text-conditioned world-model pretraining)2026.0689.973.193.3—9492.960.785.8
Cosmos Policy2026.0689.175.594.4—94.353.19685.6
GE-Act2026.0689.172.390.8—89.675.797.787.5
A2World-policyPre-training Strategy=P-pre (policy-targeted text-video-action pretraining)2026.0689.175.8100—92.291.472.988.6
A2World-policyPre-training Strategy=A-pre (action-to-video A2World pretraining)2026.068874.2100—94.593.180.988.5
A2World-policyPre-training Strategy=C-init (directly initializing from Cosmos-Predict2)2026.0683.353.290.5—89.977.174.180.2
FastWAM2026.0665.97.472.1—59.542.332.851.5