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Robot Policy Learning on LIBERO

99.5S (Spatial) RateGR00T-N1.6-ft + World2Act
-0.44425.50351.4577.397Feb 20, 2026Mar 5, 2026Mar 19, 2026Apr 1, 2026Apr 15, 2026Apr 28, 2026May 12, 2026

Evaluation results

MethodLinks
GR00T-N1.6-ft + World2Act2026.0399.510098.89498.1———
GR00T-N1.6-ft + DreamGen2026.0399.182.699.287.692.6———
VLANeXtModel Category=Ours2026.029999.296.694.697.4———
π0.52026.0398.898.29892.496.9———
Cosmos Policy2026.0398.110098.297.698.5———
π0.5Size=3.5B2026.039898989297———
LAR-MoE16Size=150M2026.039899968895.2———
Cosmos Policy + World2Act2026.039810098.39898.6———
GR00T-N1.6-ft2026.0397.798.497.594.397———
OpenVLA-OFTModel Category=VLA Models2026.0297.698.497.994.597.1———
OpenVLA-OFT2026.0397.698.497.994.597.1———
FLOWERModel Category=VLA Models2026.0297.599.196.194.996.9———
π02026.0396.898.895.885.294.2———
UniVLAModel Category=VLA Models2026.0296.596.895.69295.2———
UniVLA2026.0396.596.895.69295.2———
π0-FastModel Category=VLA Models2026.0296.496.888.660.285.5———
VLA-IAPBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=70%, Pruning Ratio=30%2026.0394.898.595.284.2————
VLA-CacheBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=70%, Pruning Ratio=30%2026.0394.597.894.582.6————
VLA-IAPBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=50%, Pruning Ratio=50%2026.0394.598.394.583.4————
VanillaBase Model=Vanilla, Token Retention Ratio=100%, Base Framework=OpenPi (π0, π0.5)2026.0394.298.294.682.8————
VLA-CacheBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=50%, Pruning Ratio=50%2026.0394.195.994.882————
SparseVLMBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=70%, Pruning Ratio=30%2026.0393.894.892.580.1————
FastVBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=70%, Pruning Ratio=30%2026.0393.596.192.280.5————
VLA-IAPBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=30%, Pruning Ratio=70%2026.0393.297.694.282.6————
SmolVLAModel Category=VLA Models2026.029394917788.8———
SmolVLASize=2.25B2026.039394917788.7———
FastVBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=50%, Pruning Ratio=50%2026.0392.495.39179.4————
NORAModel Category=VLA Models2026.0292.295.489.474.687.9———
SparseVLMBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=50%, Pruning Ratio=50%2026.039293.890.777.6————
DivPruneBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=70%, Pruning Ratio=30%2026.0391.892.591.479.2————
VLA-IAPBase Framework=DreamVLA, Token Retention Ratio=70%, Pruning Ratio=30%2026.0391.593.592.590.5————
VLA-IAPBase Framework=DreamVLA, Token Retention Ratio=50%, Pruning Ratio=50%2026.0390.59290.589.7————
π0Model Category=VLA Models2026.029086957386———
π0Size=3.5B2026.039086957386———
DivPruneBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=50%, Pruning Ratio=50%2026.0388.89289.875.3————
SpatialVLAModel Category=VLA Models2026.0288.289.978.655.578.1———
VLA-CacheBase Framework=DreamVLA, Token Retention Ratio=70%, Pruning Ratio=30%2026.038889.589.587.5————
CoT-VLAModel Category=VLA Models2026.0287.591.687.66983.9———
VLA-CacheBase Framework=DreamVLA, Token Retention Ratio=50%, Pruning Ratio=50%2026.0387.5888687.5————
VLA-IAPBase Framework=DreamVLA, Token Retention Ratio=30%, Pruning Ratio=70%2026.0387.589.589.289.1————
SparseVLMBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=30%, Pruning Ratio=70%2026.0387.186.282.571.9————
SmolVLASize=240M2026.038793886382.7———
FastVBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=30%, Pruning Ratio=70%2026.0386.880.786.273.9————
FastVBase Framework=DreamVLA, Token Retention Ratio=70%, Pruning Ratio=30%2026.0386.586.58487.5————
SparseVLMBase Framework=DreamVLA, Token Retention Ratio=70%, Pruning Ratio=30%2026.0386.58591.586.5————
VLA-CacheBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=30%, Pruning Ratio=70%2026.0386.587.285.672.6————
WorldVLAModel Category=VLA Models2026.0285.68982.65979.1———
DivPruneBase Framework=DreamVLA, Token Retention Ratio=70%, Pruning Ratio=30%2026.0385.590.58885.5————
OpenVLAModel Category=VLA Models2026.0284.788.479.253.776.5———
OpenVLASize=8B2026.0384.788.479.253.776.5———
TraceVLAModel Category=VLA Models2026.0284.685.275.154.174.8———
VanillaBase Model=Vanilla, Token Retention Ratio=100%, Base Framework=DreamVLA2026.0384.591.589.589.5————
FastVBase Framework=DreamVLA, Token Retention Ratio=50%, Pruning Ratio=50%2026.0384.581.58486.5————
SparseVLMBase Framework=DreamVLA, Token Retention Ratio=50%, Pruning Ratio=50%2026.0384.583.590.586.5————
DivPruneBase Framework=DreamVLA, Token Retention Ratio=50%, Pruning Ratio=50%2026.0384.59284.585————
DivPruneBase Framework=OpenPi (π0, π0.5), Token Retention Ratio=30%, Pruning Ratio=70%2026.0382.172.279.466————
ID-FT WMCategory=RL in WM (VLM reward), Tgt. data=5102026.058279.863.438.666———
WoVR WMCategory=RL in WM (VLM reward), Tgt. data=25102026.0581.671.666.42460.9———
VLA-CacheBase Framework=DreamVLA, Token Retention Ratio=30%, Pruning Ratio=70%2026.0381.581.579.279.5————
FastVBase Framework=DreamVLA, Token Retention Ratio=30%, Pruning Ratio=70%2026.037956.57381.5————
OctoModel Category=Direct Policy Models2026.0278.985.784.651.575.1———
OctoSize=90M2026.0378.985.784.651.175.1———
MDTModel Category=Direct Policy Models2026.0278.587.573.564.876.4———
Diffusion PolicyModel Category=Direct Policy Models2026.0278.392.568.350.572.4———
Diffusion PolicySize=263M2026.0378.392.568.350.572.4———
SparseVLMBase Framework=DreamVLA, Token Retention Ratio=30%, Pruning Ratio=70%2026.0376.5437980.5————
Co-Train WMCategory=RL in WM (VLM reward), Tgt. data=102026.0573.260.258.436.657.1———
DivPruneBase Framework=DreamVLA, Token Retention Ratio=30%, Pruning Ratio=70%2026.037187.581.580.5————
Online RL (Long)Category=RL in simulator (GT reward), Tgt. data=25702026.0568.878.865.222.458.8———
Zero-Shot WMCategory=RL in WM (VLM reward), Tgt. data=102026.0565.847.260.235.852.3———
Online RL (Short)Category=RL in simulator (GT reward), Tgt. data=5222026.0558.460.255.217.647.9———
1-shot SFTCategory=No RL, Tgt. data=102026.0554.646.452.220.243.4———
Zero-Shot from 90Category=No RL, Tgt. data=02026.053.404.273.7———
DARTArchitecture=π0-FAST, Adaptation setting=one-shot2026.07————79.491.280.866.2
FLAArchitecture=π0-FAST, Adaptation setting=one-shot2026.07————76.686.578.464.9
One-shot FTArchitecture=π0-FAST, Adaptation setting=one-shot2026.07————62.171.16352.2
RETAINArchitecture=π0-FAST, Adaptation setting=one-shot2026.07————76.588.378.462.7
Zero-shotArchitecture=π0-FAST, Adaptation setting=Zero-shot2026.07————73.484.673.662