Pick-and-place on Six Evaluation Scenarios Real-world
90Success Ratehierarchical reinforcement learning framework
Evaluation results
| Method | Links | ||
|---|---|---|---|
| hierarchical reinforcement learning frameworkScenario=Nominal2026.05 | 90 | 4.07 | |
| hierarchical reinforcement learning frameworkScenario=Heavy Object2026.05 | 80 | 3.74 | |
| hierarchical reinforcement learning frameworkScenario=Light Object2026.05 | 80 | 4.08 | |
| hierarchical reinforcement learning frameworkScenario=Large Size2026.05 | 70 | 3.54 | |
| hierarchical reinforcement learning frameworkScenario=Square Object2026.05 | 60 | 3.74 | |
| hierarchical reinforcement learning frameworkScenario=Large Height Gap2026.05 | 60 | 5.2 | |
| VBCScenario=Nominal2026.05 | 30 | 4.76 |