List your company

Robotic Manipulation on Calvin ABC-D

100Task-1 ScoreCoVAR
44.77659.11373.4587.787Dec 17, 2025Jan 10, 2026Feb 3, 2026Feb 28, 2026Mar 24, 2026Apr 17, 2026May 12, 2026

Evaluation results

MethodLinks
CoVAR2025.121008086.790.992.9——
HiF-VLAView=Multi-View2026.0598.594.188.181.473.1—4.35
MoLA2026.0598.59591.188.182.6—4.55
DreamVLA2026.0598.294.689.583.478.1—4.44
RoboVLMsView=Multi-View2026.059893.685.477.870.4—4.25
ElasticFlowView=Multi-View2026.0597.895.387.983.672.7—4.37
VPPView=Multi-View2026.0596.590.986.68276.9—4.33
VPP2026.0596.590.986.68276.9—4.33
OpenVLA-OFTView=Multi-View2026.0596.389.182.475.866.5—4.1
SeerView=Multi-View2026.0596.391.686.180.374—4.28
Seer2026.0596.391.686.180.374—4.28
CLOVERView=Third View2026.059683.570.857.545.4—3.53
CLOVER2026.059683.570.857.545.4—3.53
ElasticFlowView=Third View2026.0595.688.779.877.373.4—4.15
UniVLAView=Third View2026.0595.585.874.866.956.5—3.8
UniVLA2026.0595.585.875.466.956.5—3.8
π0.5reproduced_or_previously_reported=true2026.0594.887.478.271.764.3—3.97
Qwen3VL-2BSize=2.1B, Framework=VLM4VLA2026.0194.388.283.177.6714.142—
Qwen3VL-2BSize=2.1B, # Samples Seen=7.7M / 25.6M / 25.6M2026.0494.388.283.177.671—4.142
GR00T N1reproduced_or_previously_reported=true2026.0594.286.179.673.966.8—4.01
Qwen3VL-8BSize=8.8B, Framework=VLM4VLA2026.019486.879.774.668.44.035—
Qwen3VL-8BEvaluation Protocol=VLM with VLM4VLA Models (Full Fine-tuning)2026.039486.879.774.668.44.035—
Qwen3VL-8BSize=8.8B, # Samples Seen=7.7M / 25.6M / 25.6M2026.049486.879.774.668.4—4.035
Qwen3VL-30B-A3BSize=31.1B, Framework=VLM4VLA2026.0193.987.78275.768.24.075—
Qwen3VL-30B-A3BSize=30B-A3B, # Samples Seen=7.7M / 25.6M / 25.6M2026.0493.987.78275.768.2—4.075
π0View=Multi-View2026.0593.88576.768.159.9—3.92
π0reproduced_or_previously_reported=true2026.0593.88576.768.159.9—3.84
π0View=Third View2026.0593.783.27462.951—3.65
Qwen2.5VL-7BSize=8.3B, Framework=VLM4VLA2026.0193.586.480.775.869.34.057—
Qwen2.5VL-7BEvaluation Protocol=VLM with VLM4VLA Models (Full Fine-tuning)2026.0393.586.480.775.869.34.057—
Qwen2.5VL-7BSize=8.3B, # Samples Seen=7.7M / 25.6M / 25.6M2026.0493.586.480.775.869.3—4.057
InternVL3.5-1B + EmbodiedMidtrainSize=1.1B, # Samples Seen=1.0M / 4.1M / 4.1M2026.0493.583.873.765.355.1—3.714
HiF-VLAView=Third View2026.0593.587.481.475.969.4—4.08
Qwen3VL-4BSize=4.4B, Framework=VLM4VLA2026.0193.385.77971.964.43.943—
Qwen3VL-4BSize=4.4B, # Samples Seen=7.7M / 25.6M / 25.6M2026.0493.385.77971.964.4—3.943
OmniStream-7BEvaluation Protocol=VLM with VLM4VLA Models (Frozen Vision)2026.0393.184.876.870.363.43.885—
UP-VLAView=Multi-View2026.0592.886.581.576.969.9—4.08
UP-VLA2026.0592.886.581.576.969.9—4.08
Qwen2.5VL-3BSize=3.8B, Framework=VLM4VLA2026.0192.284.276.67062.63.856—
Qwen2.5VL-3BSize=3.8B, # Samples Seen=7.7M / 25.6M / 25.6M2026.0492.284.276.67062.6—3.856
Qwen3VL-2B + EmbodiedMidtrainSize=2.1B, # Samples Seen=1.0M / 4.1M / 4.1M2026.0492.280.87062.353.3—3.584
3D Diffusor Actor2026.0592.278.763.951.241.2—3.27
VidmanView=Multi-View2026.0591.576.468.259.246.7—3.42
Paligemma-1Size=2.9B, Framework=VLM4VLA2026.0191.481.369.259.948.83.506—
Paligemma-1-3BEvaluation Protocol=VLM with VLM4VLA Models (Full Fine-tuning)2026.0391.481.369.259.948.83.506—
Paligemma-1Size=2.9B, # Samples Seen=7.7M / 25.6M / 25.6M2026.0491.481.369.259.948.8—3.506
OpenVLAView=Third View2026.0591.377.86252.143.5—3.27
OpenVLA2026.0591.377.86252.143.5—3.27
InternVL3.5-1BSize=1.1B, # Samples Seen=1.0M / 4.1M / 4.1M2026.0490.975.460.649.840.6—3.173
VPPView=Third View2026.0590.981.571.36251.8—3.58
Paligemma-2Size=3.0B, Framework=VLM4VLA2026.0190.177.566.957.548.63.406—
Paligemma-2-3BEvaluation Protocol=VLM with VLM4VLA Models (Full Fine-tuning)2026.0390.177.566.957.548.63.406—
Qwen2.5VL-7BEvaluation Protocol=VLM with VLM4VLA Models (Frozen Vision)2026.0390.17053.643.333.42.905—
Paligemma-2Size=3.0B, # Samples Seen=7.7M / 25.6M / 25.6M2026.0490.177.566.957.548.6—3.406
pi0*VLM Backbone=Paligemma-1, Size=3.1B2026.0189.678.578.66153.23.509—
pi0*Model (VLM Backbone)=Paligemma-1, Evaluation Protocol=Expert Vision-Language-Action Models2026.0389.678.578.66153.23.509—
π0 (Paligemma-1)Size=3.1B, # Samples Seen=7.7M / 25.6M / 25.6M2026.0489.678.578.66153.2—3.509
Qwen3VL-2B (low budget)Size=2.1B, # Samples Seen=1.0M / 4.1M / 4.1M2026.0488.774.761.252.743.2—3.205
KosMos-2Size=1.7B, Framework=VLM4VLA2026.0187.872.159.149.840.83.096—
KosMos-2-1.7BEvaluation Protocol=VLM with VLM4VLA Models (Full Fine-tuning)2026.0387.872.159.149.840.83.096—
KosMos-2Size=1.7B, # Samples Seen=7.7M / 25.6M / 25.6M2026.0487.872.159.149.840.8—3.096
LLaVA-Video-7BEvaluation Protocol=VLM with VLM4VLA Models (Frozen Vision)2026.0387.670.154.243.8342.898—
UVA2025.1287.566.771.175.878.5——
SuSIEView=Third View2026.058769493826—2.69
GR-1View=Multi-View2026.0585.471.259.649.740.1—3.06
UWM2025.1281.373.364.457.671.4——
OpenVLA*VLM Backbone=Llama-2, Size=7.7B2026.0179.264.449.936.824.52.548—
OpenVLA*Model (VLM Backbone)=Llama-2, Evaluation Protocol=Expert Vision-Language-Action Models2026.0379.264.449.936.824.52.548—
OpenVLA (Llama-2)Size=7.7B, # Samples Seen=7.7M / 25.6M / 25.6M2026.0479.264.449.936.824.5—2.548
PAD2025.1278.146.748.948.564.2——
Unipi2025.1246.926.728.918.245.2——