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Robot Manipulation on LIBERO (Core Success Metrics)

100Spatial Success RateVLA-Corrector
-4235077Oct 7, 2025Nov 21, 2025Jan 5, 2026Feb 20, 2026Apr 6, 2026May 21, 2026Jul 6, 2026

Evaluation results

MethodLinks
VLA-CorrectorBackbone=π0.5, Mode=Few-shot2026.0710099.89893.497.8—
ACE-Brain-0.52026.07100100969798.2—
WSA1-LModel Size=6B2026.0799.499.898—98.295.6
MindLWPI2026.0799.299.899.298.299.1—
MindWPI2026.079999.698.696.898.5—
π0.52026.0798.898.29892.496.9—
π0.52026.0798.898.298—96.992.4
π0.52026.0798.898.29892.496.9—
Mantis2026.0798.899.294.494.296.7—
π0.52026.0798.898.29892.496.9—
Xiaomi-Robotics-02026.0798.810098.897.298.7—
WSA1-BModel Size=3B2026.0798.699.697.2—97.494.2
InternVLA-A1.52026.0798.699.898.698.498.9—
Lingbot-VA2026.0798.599.697.2—98.598.5
LingBot-VA2026.0798.599.697.298.598.5—
MindPIbackbone=Frozen VLM2026.0798.499.296.894.697.2—
MemoryVLA2026.0798.498.496.493.496.7—
MindPIpre-training=Full PT2026.0798.298.49895.297.5—
π0.5Mode=Full Fine-tuned2026.0798.299.497.892.496.95—
FastWAM2026.0798.210097—97.695.2
Fast-WAM2026.0798.21009795.297.6—
π02026.079896.894.488.494.4—
MindWPIpre-training=w/o PT2026.079899.698.293.697.4—
π02026.079896.894.4—94.488.4
GeoPredict2026.079898.295.7—96.594
π02026.079896.894.488.494.4—
InternVLA-M12026.07989993.892.695.9—
MindPIpre-training=w/o PT2026.0797.899979497—
MindLPI2026.0797.898.49894.897.2—
StarVLA-OFT2026.0797.898.696.293.896.6—
GR00T N1.62026.0797.798.597.594.497—
GR00T-N1.72026.0797.798.597.594.497—
OpenVLA-OFT2026.0797.698.497.994.597.1—
OpenVLA-OFT2026.0797.698.497.9—97.194.5
OpenVLA-OFT2026.0797.698.497.994.597.1—
OpenVLA-OFT2026.0797.698.497.994.597.1—
DreamVLA2026.0797.59489.5—92.689.5
Motus2026.0796.899.896.6—97.797.6
π02026.0796.898.895.885.294.1—
Motus2026.0796.899.896.697.697.7—
π0-Fast2026.0796.496.888.660.285.5—
VITA2026.0795.998.995.196.896.7—
π0.5Mode=Few-shot Fine-tuned2026.0795.497.896.286.694—
GROOT-N12026.0794.497.69390.693.9—
SpatialVLA2026.0788.289.978.6—78.155.5
OpenVLA (Baseline)Params (B)=7.5, Mem (GB)=14.92026.0684.788.479.253.776.5—
OpenVLA2026.0784.788.479.253.776.5—
OpenVLA2026.0784.788.479.253.776.5—
MiniVLAreproduced=true2025.1079.438.86830.254.1—
Ours-LightParams (B)=6.6, Mem (GB)=13.02026.0678.382.57446.870.4—
MG-Select*base_model=MiniVLA, joint_training=true2025.1076.860.972.132.360.5—
Ours-ModerateParams (B)=6.2, Mem (GB)=12.42026.0670.574.964.73962.3—
Ours-AggressiveParams (B)=5.7, Mem (GB)=11.32026.065965.75629.552.5—
Wanda(Sparse Lang. BB)Mem (GB)=10.62026.0631.250.82012.428.6—
Wanda(75% Sparse Lang. BB)Mem (GB)=12.02026.0625.44920.811.426.7—
LLM-PrunerParams (B)=6.2, Mem (GB)=12.42026.0623.4——1——
FLAPParams (B)=6.3, Mem (GB)=12.52026.060.2——0——
Wanda(Full Sparse)Mem (GB)=10.22026.06013.40.807.1—
Qwen-VLA-Instruct2026.07————97.9—