| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Object Grasping Hard Scene (Raigor) | EMMa | Success Rate100 | 9 | 1mo ago | |
| Raigor Easy Scene | EMMa | Success Rate100 | 9 | 1mo ago | |
| Robot Policy Evaluation OOD-env | LACE-DINO | Success Rate65 | 6 | 15d ago | |
| Robot Policy In-domain (evaluation) | LACE-DINO | Success Rate65 | 6 | 15d ago | |
| PyBullet simulation 10 unseen objects 30 scenes | Ours | GSR89.03 | 6 | 2mo ago | |
| PyBullet simulation 20 seen objects, 30 scenes | Ours | Grasp Success Rate (GSR)92.82 | 6 | 2mo ago | |
| PyBullet simulation 10 seen objects, 30 scenes | Ours | GSR95.29 | 6 | 2mo ago | |
| Physics Simulation Bottle Grasping v1 (10^4 simulated trials) | contrastive learning empowered reinforcement learning | Mean Reward1,155.79 | 4 | 3mo ago | |
| Physics Simulation Ball Grasping v1 (10^4 simulated trials) | contrastive learning empowered reinforcement learning | Mean Reward1,145.61 | 4 | 3mo ago | |
| PyBullet Transparent Scenario (test) | RepSAM | mIoU85.3 | 2 | 8d ago | |
| PyBullet Standard Scenario (test) | RepSAM | mIoU90.5 | 2 | 8d ago |
