RL Policy Learning for Articulated Objects on PartNet-Mobility
100Bag Handle Moving Success RateAsset2Sim
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Asset2SimAsset Refinement Method=Asset2Sim2026.05 | 100 | 100 | 100 | 100 | 77.78 | 100 | 100 | 100 | 100 | 97.53 | |
| Human (GenSim2)Asset Refinement Method=Human (GenSim2)2026.05 | 0 | 0 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 11.11 | |
| VLM-IVWAsset Refinement Method=VLM-IVW2026.05 | 0 | 0 | 100 | 100 | 11.11 | 0 | 100 | 0 | 100 | 45.68 | |
| Direct VLMAsset Refinement Method=Direct VLM2026.05 | 0 | 0 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 11.11 |