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Robotic Manipulation on RLBench

96Place Cups SuccessMALLVi
-3.8422.084873.92Jun 26, 2023Dec 17, 2023Jun 8, 2024Nov 29, 2024May 22, 2025Nov 12, 2025May 6, 2026

Evaluation results

MethodLinks
MALLViReflector Agent=true2026.0296——————————9492———9083————
MALLViReflector Agent=false2026.0275——————————8981———7863————
ActiveVLA2026.0165.60.9181.2210010092.410010096.210087.499.599.489.398.563.382.284.810095.3——
BridgeVLA2026.0158.40.8822.44100100881001008898.473.699.299.287.29660.876.881.687.292.8——
HDFlow2026.0556.7——9610093.398.78294.71007298.796.788.791.373.35681.310095.3——
ARP+2025.0148.884.93.295.299.278.497.692.89610069.698.486.489.692.846.463.28097.696——
SAM2Act2025.014786.83.199998498839310075999889866476789996——
3D-LOTUS2025.0140.883.13.79610069.698.485.691.210078.497.695.288.899.234.458.475.29690.4——
RVT-22025.013881.43.71009940997495100669696889235806910099——
RVT-22026.01380.81431009940997495100669696889235806910099——
RVT-22026.0538——1009940997495100669696889235806910099——
3D Diffuser Actor2025.012481.33.99610065.696.889.693.698.485.69697.682.497.64468.347.28499.2——
3D Diffuser Actor2026.01240.8133.399610065.696.889.693.698.485.69697.682.497.64468.347.28499.2——
3D Actor2026.0524——9610065.696.889.693.698.485.69697.682.497.64468.347.28499.2——
Single-AgentMulti-Agent Decomposition=false2026.0222——————————7358———4215————
SAM2ActPretrain [Type]=Supervised, Finetune [Method]=RVT2026.03968—711001395799310055948958662546638088——
HyperMVPPretrain [Type]=Self-Supervised, Finetune [Method]=RVT2026.03771.1—80981297759410059939761902643648896——
RVT2025.01462.96.95299.211.28871.29110049.68891.24881.63628.826.47293.6——
RVTTrain time (in days)=1, Inf. Speed (in fps)=11.62023.06462.91.15299.211.28871.29110049.68891.24881.63628.826.47293.6——
RVTInference Steps (Sum)=6158±642024.05462.9—52—11.28871.29110049.689.691.248—3628.826.47293.699.281.6
RVT2024.06462.9—5299.211.28871.29110049.68891.24881.63628.826.47293.6——
3D-MVP2024.06467.5—7610020968410096601009260482840368096——
Image-BCBackbone=CNN2026.0140.01311.5600000000840000008——
RVT2026.0140.6295.395299.211.28871.29110049.68891.24881.63628.826.47293.6——
RVTPretrain [Type]=-, Finetune [Method]=-2026.03462.9—5299.211.28871.29110049.68891.24881.63628.826.47293.6——
3D-MVPPretrain [Type]=Self-Supervised, Finetune [Method]=RVT2026.03467.5—7610020968410096601009260482840368096——
RVT2026.054——5299.211.28871.29110049.68891.24881.63628.826.47293.6——
Act3D2025.013656.892922794938099519095479381299294——
Act3D2026.0130.655.2892922794938099519095479381299294——
PerAct2025.012.449.48.955.289.65.670.48844.892.82851.28417.67416.826.42.45288——
PerActTrain time (in days)=16, Inf. Speed (in fps)=4.92023.062.449.41.955.289.65.670.48844.892.82851.28417.67416.826.42.45288——
PerAct2024.052.449.4—55.2—5.670.48844.892.82851.28417.6—16.826.42.4528859.674
PerAct2024.062.449.4—55.289.65.670.48844.892.82851.28417.67416.826.42.45288——
PerAct2026.012.40.4947.3355.289.65.670.48844.892.82851.28417.67416.826.42.45288——
PerActPretrain [Type]=-, Finetune [Method]=-2026.032.449.4—55.289.65.670.48844.892.82851.28417.67416.826.42.45288——
PerAct2026.052.4——55.289.65.670.48844.892.82851.28417.67416.826.42.45288——
SAM-E (SAM -> R3M)Backbone=SAM -> R3M, Inference Steps (Sum)=1165±632024.051.666.5—78.4—5697.695.2609641.688.895.296.8—31.2322.45.610010088.8
SAM-E (SAM -> DINO)Backbone=SAM -> DINO, Inference Steps (Sum)=1143±152024.050.867.1—89.6—11.29695.293.6100528885.664—30.428.81.610010010089.6
Image-BCBackbone=CNN2025.0101.312.400004000840000008——
Image-BCBackbone=ViT2025.0101.312.6000000000000000016——
C2F-ARM-BC2025.01020.111.52424420208720412816800068——
HiveFormer2025.01045.39.6527601005280843268768648802880——
PolarNet2025.01046.49.136924100844096123284445612485280——
SAM-E2025.01070.64.882.410018.495.295.294.4100649295.278.495.234.426.40100100——
Image-BCBackbone=CNN2023.0601.33.700004000840000008——
Image-BCBackbone=ViT2023.0601.33.8000000000000000016——
C2F-ARM-BC2023.06020.13.12424420208720412816800068——
SAM-E (SAM -> RVT)Backbone=SAM -> RVT, Inference Steps (Sum)=1190±192024.05065.3—83.2—7.295.295.292.898.459.2887261.6—35.222.43.28487.299.279.2
SAM-E (SAM -> CLIP)Backbone=SAM -> CLIP, Inference Steps (Sum)=1192±172024.05064.8—73.6—8969293.61004078.480.859.2—42.422.44.885.610099.278.4
SAM-E (ours)Inference Steps (Sum)=1130±122024.05070.6—82.4—18.495.295.294.4100649295.278.4—34.426.4010095.210095.2
Image-BCBackbone=CNN2024.0601.3—00004000840000008——
Image-BCBackbone=ViT2024.0601.3—000000000000000016——
C2F-ARM-BC2024.06020.1—2424420208720412816800068——
D4Radaptation=None2024.06055.3—61.31003297.38481.393.346.725.3883257.3246.706897.3——
D4R-Alignadaptation=HR-Align2024.06059.9—7297.3249281.38410046.73297.357.370.722.7161.386.796——
R3Madaptation=None2024.06050.3—74.79617.3968077.31002414.790.730.760201603672——
R3M-Alignadaptation=HR-Align2024.06059.2—8097.31693.3808810033.370.778.741.38013.313.31.398.780——
Image-BCBackbone=ViT2026.0100.01311.61000000000000000016——
C2F-ARM-BC2026.0100.2019.892424420208720412816800068——
HiveFormer2026.0100.4538.22527601005280843268768648802880——
PolarNet2026.0100.4647.7836924100844096123284445612485280——
PerAct2026.020——————————6844———360————
PolarNetPretrain [Type]=-, Finetune [Method]=-2026.03046.4—36924100844096123284445612485280——
4DGentype=Baseline2026.02—47————————————————————
Act-Headtype=Ablation, description=skips latent optimization and uses action-head prediction2026.02—72.5————————————————————
Full IDMtype=Ablation, description=point-based inverse dynamics model2026.02—68.8————————————————————
MVISTA-4Dtype=Full model2026.02—72.6————————————————————
P-ACTtype=Baseline2026.02—60.4————————————————————
TesserActtype=Baseline2026.02—67.3————————————————————
UniPi*type=Baseline2026.02—34.6————————————————————
w/o R-IDMtype=Ablation, description=removes the residual IDM2026.02—69————————————————————