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Cube

Benchmarks

Task NameDataset NameSOTA ResultTrend
Active Feature AcquisitionCube-NM nc = 5, sigma = 0.2
Training Runtime (s)9.2
16
Dynamic Feature SelectionCube
AUAC-F147.47
13
Deformable object simulationCUBE (test)
RMSE0.019
12
Manipulationcube single-play-oraclerep v0
Task 1 Success Rate98
9
Goal-Conditioned Reinforcement LearningCube triple-play v0
Success Rate11
9
Goal-Conditioned Reinforcement LearningCube single-play v0
Success Rate83
9
Failure DetectionCUBE (Unseen)
bACC91.4
8
Failure DetectionCUBE (Seen)
bACC99.2
8
task4Cube-quad
Success Rate (Offline)40
8
task4Cube-triple
Success Rate (Offline)1.2
8
task2Cube-triple
Offline Success Rate3.2
8
task4Cube-double
Success Rate (Offline)23.2
8
task3Cube-double
Success Rate (Offline)79.6
8
task2Cube double
Success Rate (Offline)77.6
8
Pixel-based goal-conditioned controlCube
Success Rate86
8
Manipulationcube double-play v0
Success Rate40
7
Manipulationcube single-play v0
Success Rate68
7
Offline Goal-Conditioned Reinforcement Learningcube-single-play v0
Success Rate68
7
Pose graph optimizationCube n=8000, m=22236
Error4.22
6
In-hand reorientationCube
Consecutive Successes35.4
3
Jelly Graspinglarge cube
Score3,353
3
Intrinsic Dimension EstimationCube d = 5
Estimated Intrinsic Dimension5.06
2
Intrinsic Dimension EstimationCube d = 1
Estimated Intrinsic Dimension1.07
2
Push-task TeleoperationCube
IoU80
2
Multi-angle RCS EvaluationCube
Total Solver Runtime (h)22
1
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