Multi-robot active mapping on Matterport3D Small Scenes (< 100m²)
97.1CoverageCoScan
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| CoScanNumber of robots=3, Training data source=N/A (non-learnable), Training scene count=N/A2022.03 | 97.1 | 581.7 | — | |
| NeuralCoMappingNumber of robots=3, Training data source=Gibson dataset, Training scene count=92022.03 | 96.7 | 506.1 | — | |
| mTSPNumber of robots=3, Training data source=N/A (non-learnable), Training scene count=N/A2022.03 | 96.6 | 712.5 | — | |
| GreedyNumber of robots=3, Training data source=N/A (non-learnable), Training scene count=N/A2022.03 | 95.9 | 801.2 | — | |
| VorSEGNumber of robots=3, Training data source=N/A (non-learnable), Training scene count=N/A2022.03 | 95.5 | 652.7 | — | |
| ANS-CenNumber of robots=3, Training data source=Entire Gibson dataset, Training scene count=722022.03 | 89.7 | 1,536.8 | — | |
| ANS-DeCenNumber of robots=3, Training data source=Entire Gibson dataset, Training scene count=722022.03 | 85.1 | 1,860.4 | — |