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Robotic Manipulation on RoboTwin

80.7Success RateVidarc
13.72431.11248.565.888Dec 19, 2025Jan 21, 2026Feb 24, 2026Mar 29, 2026May 2, 2026Jun 4, 2026Jul 8, 2026

Evaluation results

MethodLinks
VidarcEmbodiment-aware=true, Closed-loop=true2025.1280.765554585
VidarcEmbodiment-aware=false, Closed-loop=true2025.1274.650652070
Vidar2025.1271.1050500
VidarcEmbodiment-aware=true, Closed-loop=false2025.1266.825403550
GeoPropBackbone=ResNet-18, Delta Params=+3.0%2026.0762.9————
VanillaBackbone=ResNet-182026.0753.7————
No-ProprioBackbone=ResNet-182026.0753.7————
Pi0.52025.1252.920303515
GeoPropBackbone=ViT-Base, Delta Params=+2.3%2026.0752————
MVISTA-4Dtype=Full model2026.0243————
No-ProprioBackbone=ViT-Base2026.0742.9————
w/o R-IDMtype=Ablation, description=removes the residual IDM2026.0242.8————
Act-Headtype=Ablation, description=skips latent optimization and uses action-head prediction2026.0242.5————
Full IDMtype=Ablation, description=point-based inverse dynamics model2026.0241.7————
VanillaBackbone=ViT-Base2026.0741.1————
4DGentype=Baseline2026.0240.2————
TesserActtype=Baseline2026.0233.9————
P-ACTtype=Baseline2026.0220.5————
UniPi*type=Baseline2026.0216.3————