Room
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Reinforcement Learning | Room | Task 1 Performance94 | 9 | |
| Continual Reinforcement Learning | Room Task 5 | Worst Transfer Average (W-bar)0.01 | 9 | |
| Continual Reinforcement Learning | Room Task 4 | Worst Transfer Grand Average (W-bar)0.07 | 9 | |
| Continual Reinforcement Learning | Room Task 3 | Worst Transfer Average (W-bar)0.2 | 9 | |
| Continual Reinforcement Learning | Room Task 2 | Worst Transfer Average (W-bar)0.08 | 9 | |
| Continual Reinforcement Learning | Room Task 1 | Worst Transfer Average (W-bar)-0.01 | 9 | |
| Monocular Depth Estimation | ROOM synthetic data | L19.1 | 7 | |
| Active Mapping | Room (test) | PSNR22.83 | 7 | |
| Classification | room UCI (test) | Accuracy99.7 | 6 | |
| Single-agent Tracking | Room-1-loop | RMSE0.21 | 5 | |
| Single-agent Tracking | Room-0-loop | RMSE0.48 | 5 | |
| Multi-view Pose Estimation | ROOM Seq0-Seq4 | RRA@5°79 | 4 | |
| Multi-Agent Task Scheduling | Room |A| = 200 (test) | Throughput14,912 | 4 | |
| Embodied Navigation | Room B (out-of-distribution) | SR80.5 | 4 | |
| Autonomous Scanning | Room real-world flight (test) | FT (s)133.95 | 2 |
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