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Robot Manipulation on LIBERO (Spatial, Object, Goal, Long, Avg Metrics and Ranks)

99Spatial Successω-EVA Stage 3
3.8428.54553.2577.955Jun 21, 2025Aug 18, 2025Oct 16, 2025Dec 14, 2025Feb 11, 2026Apr 11, 2026Jun 9, 2026

Evaluation results

MethodLinks
ω-EVA Stage 3Core Params=1.2B, Robot Pretrain=No2026.069999.898.297.498.6———
π0.5Type=VLA, Params=3B, EPT=w/2026.0698.898.29892.496.9—6—
π0.5Core Params=3.3B, Robot Pretrain=Yes2026.0698.898.29892.496.9———
ω-EVA Stage 2Core Params=0.8B, Robot Pretrain=No2026.0698.899.497.695.897.9———
LingBot-VAType=WAM, Params=5.3B, EPT=w/2026.0698.599.697.298.598.5—1—
LingBot-VACore Params=5.3B, Robot Pretrain=Yes2026.0698.599.697.298.598.5———
GeoVLAView Setting=Multi-view VLA, Category=3D-cloud-enhanced VLA2025.1098.49996.696.697.7———
LightVLA (OpenVLA-OFT)Model Size=7B, Latency (ms)=91.562025.0698.498.498.294.697.4———
Light-WAMType=WAM, Params=2B, EPT=w/o2026.0698.299.697.89397.213—
Fast-WAMCore Params=6B, Robot Pretrain=No2026.0698.21009795.297.6———
Fast-WAM2026.0698.21009795.297.6———
HiMem-WAM2026.0698.299.898.494.597.7———
3D-CAVLAView Setting=Multi-view VLA, Category=Depth-enhanced VLA2025.1098.299.898.296.198.1———
GR00T-RLRCModel Size=2B, Latency (ms)=55.42025.0698.29897.893.496.9———
GR00T N1.6Model Size=3B, Latency (ms)=752025.069897.898.495.497.4———
OpenVLA-OFT-RLRCModel Size=2B, Latency (ms)=65.592025.0697.899.698.294.897.6———
OpenVLA-OFTType=VLA, Params=7B, EPT=w/2026.0697.698.497.994.597.1—4—
QDepth-VLAView Setting=Multi-view VLA, Category=Depth-enhanced VLA2025.1097.696.695.29094.9———
OpenVLA-OFTModel Size=7B, Latency (ms)=149.232025.0697.698.497.994.597.1———
DreamVLAView Setting=Multi-view VLA, Category=Depth-enhanced VLA2025.1097.59489.589.592.6———
villa-XPretraining Method=Mix Videos2025.0997.59791.574.590.1———
NORA-1.52026.0697.396.494.589.694.5———
SwiftVLAHistory=true, 3D=true2026.0697.296.897.48995.1———
Fast-WAMType=WAM, Params=6B, EPT=w/o2026.069799.496.694.89725—
π0Type=VLA, Params=3B, EPT=w/2026.0696.898.895.885.294.1—8—
MotusType=WAM, Params=8B, EPT=w/2026.0696.899.896.697.697.7—2—
π0History=false, 3D=false2026.0696.898.895.885.294.2———
π0Core Params=3.3B, Robot Pretrain=Yes2026.0696.898.895.885.294.1———
MotusCore Params=8B, Robot Pretrain=Yes2026.0696.899.896.697.697.7———
π02026.0696.898.895.885.294.2———
π0 finetunedView Setting=Multi-view VLA, Category=General VLA2025.1096.898.895.885.294.2———
π0Model Size=3B2025.0696.898.895.885.294.1———
UniVLAView Setting=Multi-view VLA, Category=General VLA2025.1096.596.895.69295.2———
EfficientVLA (OpenVLA-OFT)Model Size=7B, Latency (ms)=99.482025.0696.591.19672.188.9———
π0-FASTHistory=false, 3D=false2026.0696.496.888.660.285.5———
DepthVLAHistory=false, 3D=true2026.0696.49895.889.294.9———
AtomVLA2026.0696.499.697.694.497———
π0-FAST finetunedView Setting=Multi-view VLA, Category=General VLA2025.1096.496.888.660.285.5———
π0-FastModel Size=3B2025.0696.496.888.660.285.5———
MotionVLAHistory=true, 3D=true2026.0696.29896.291.295.4———
VLA-JEPACore Params=3B, Robot Pretrain=Yes2026.0696.299.697.295.897.2———
VLA-AdapterType=VLA, Params=0.6B, EPT=w/o2026.069696.897.494.496.237—
HiMem-WAM (w/o Stage II)Ablation=Without Stage II Latent Action Pretraining2026.069699.697.193.896.6———
OriginalModel=X-VLA, Compression rate=0.12026.069598.593.587.593.63——91.72
VLA-JEPACore Params=3B, Robot Pretrain=No2026.0694.899.695.89496.1———
GR00T-N1History=false, 3D=false2026.0694.497.69390.693.9———
EinSortModel=X-VLA, Compression rate=0.12026.0693.597.590.58892.38——90.33
SmolVLA (SmolVLM-2.25B)Pretraining Method=VLM Checkpoint2025.099394917788.75———
SmolVLAModel Size=2.25B2025.069394917788.8———
Diffusion Policy w/ latent (Ours)Pretraining Method=Human Videos2025.0992.796.394.28892.8———
UniVLAPretraining Method=Human Videos2025.0991.294.290.279.488.7———
π0Pretraining Method=Robot Actions2025.099086957386———
4D-VLAHistory=true, 3D=true2026.0688.995.290.979.188.6———
4D-VLAView Setting=Multi-view VLA, Category=Depth-enhanced VLA2025.1088.995.290.979.188.6———
PixelVLAHistory=false, 3D=false2026.0688.59085.882.686.7———
SpatialVLAHistory=false, 3D=true2026.0688.289.978.655.578.1———
SpatialVLA2026.0688.289.978.655.578.1———
SpatialVLAView Setting=Single-view VLA, Category=3D-cloud-enhanced VLA2025.1088.289.978.655.578.1———
SpatialVLAModel Size=7B2025.0688.289.978.655.578.1———
Diffusion Policy w/o latentPretraining Method=None2025.0988.181.487.570.581.87———
WorldVLA2026.0687.696.283.46081.8———
CoT-VLAHistory=false, 3D=false2026.0687.591.687.66983.9———
CoT-VLA-7BView Setting=Single-view VLA, Category=General VLA2025.1087.591.687.66981.1———
π0 (Paligemma-3B)Pretraining Method=VLM Checkpoint2025.098763894871.8———
VLA-OSModel Size=0.5B2025.068796.592.76685.6———
3D-CAVLAView Setting=Single-view VLA, Category=Depth-enhanced VLA2025.1086.194.782.966.882.6———
QDepth-VLAView Setting=Single-view VLA, Category=Depth-enhanced VLA2025.108688.89472.685.4———
OpenVLA-RLRCModel Size=2B, Latency (ms)=74.042025.0685.28879.652.876.4———
OpenVLAType=VLA, Params=7B, EPT=w/2026.0684.788.479.253.776.5—9—
OpenVLAHistory=false, 3D=false2026.0684.788.479.253.776.5———
OpenVLACore Params=7B, Robot Pretrain=Yes2026.0684.788.479.253.776.5———
OpenVLA2026.0684.788.479.253.776.5———
OpenVLA finetunedView Setting=Single-view VLA, Category=General VLA2025.1084.788.479.253.776.5———
OpenVLAPretraining Method=Robot Actions2025.0984.788.479.253.776.5———
OpenVLAModel Size=7B, Latency (ms)=1692025.0684.788.479.253.776.5———
TraceVLAHistory=true, 3D=false2026.0684.685.275.154.174.8———
VLA-Cache (OpenVLA)Model Size=7B, Latency (ms)=125.182025.0683.885.876.452.874.7———
OctoHistory=false, 3D=false2026.0678.985.784.651.175.1———
Octo finetunedView Setting=Multi-view VLA, Category=General VLA2025.1078.985.784.651.175.1———
OctoPretraining Method=Robot Actions2025.0978.985.784.651.175.1———
Diffusion PolicyHistory=false, 3D=false2026.0678.392.568.350.572.4———
Diffusion PolicyView Setting=Multi-view VLA, Category=General VLA2025.1078.392.568.350.572.4———
Open π0View Setting=Single-view VLA, Category=General VLA2025.1077.28483.66677.7———
UniACTModel Size=0.5B2025.067787777077.8———
SP-VLA (OpenVLA)Model Size=7B, Latency (ms)=124.262025.0675.485.684.454.274.9———
LAPAPretraining Method=Mix Videos2025.0973.874.658.855.465.7———
LatentLLMModel=X-VLA, Compression rate=0.12026.0643263.532.526.25——23.32
SVD-LLMModel=X-VLA, Compression rate=0.12026.06412643125.5——22.6
ASVDModel=X-VLA, Compression rate=0.12026.0632.52151317.88——15.38
Plain SVDModel=X-VLA, Compression rate=0.12026.067.51022.63——1.72