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Multi-task Robotic Manipulation on RLBench

83.6Avg Success RateVERM
14.23232.24150.2568.259Jun 19, 2025Jul 19, 2025Aug 18, 2025Sep 18, 2025Oct 18, 2025Nov 17, 2025Dec 18, 2025

Evaluation results

MethodLinks
VERMBackbone=ResNet50 variant of CLIP, Input Resolution=224x224, Vision-Language Model=GPT-4o2025.1283.696.889.695.210098.499.210099.2—80.893.61009655.247.210030.440
3DDAInput Resolution=256x2562025.1283.59689.68496.899.297.696100—68.382.497.693.685.64498.465.624
FlowRAM2025.0682.38590888286.393.38810080.331.3————————
RVT-2Input Resolution=224x2242025.1282.2100741009999929699—8088969566351004038
3D Diffuser Actor2025.0678.482.789.394.788809277.398.769.312————————
RVT-2retrained on FlowRAM demos=true2025.0676.279.378.787.386.785.376.786.79667.327.7————————
Act3D2025.1268.49393929494939092—1247958051899273
Act3D2025.0665.352848066.76410054.786.7640————————
RVTInput Resolution=224x2242025.12655271.2728893.681.68899.2—28.84891.29149.63610011.24
PerAct2025.1252.355.2885270.4887451.289.6—26.417.68644.82816.892.85.62.4
PolarNet2025.1248.736845210080563292—444844012129640
HiveFormer2025.124852522810080646876—8876803288400
ManiGaussian2025.0644.828766060562416922012————————
GNFactor2025.0631.725.3762857.350.720037.318.74————————
PerAct2025.0620.418.754.704038.718.72.75.318.76.7————————
C2F-ARM-BC2025.1216.924200206816424—08128087240