Multi-robot active mapping on Matterport3D Large Scenes (> 300m²)
92.4CoverageNeuralCoMapping
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| NeuralCoMappingNumber of robots=3, Training data source=Gibson dataset, Training scene count=92022.03 | 92.4 | 1,874.8 | |
| CoScanNumber of robots=3, Training data source=N/A (non-learnable), Training scene count=N/A2022.03 | 92.1 | 2,781 | |
| mTSPNumber of robots=3, Training data source=N/A (non-learnable), Training scene count=N/A2022.03 | 91.4 | 2,963.6 | |
| GreedyNumber of robots=3, Training data source=N/A (non-learnable), Training scene count=N/A2022.03 | 91.3 | 3,345.4 | |
| VorSEGNumber of robots=3, Training data source=N/A (non-learnable), Training scene count=N/A2022.03 | 91 | 2,852 | |
| ANS-CenNumber of robots=3, Training data source=Entire Gibson dataset, Training scene count=722022.03 | 52.2 | 4,961.3 | |
| ANS-DeCenNumber of robots=3, Training data source=Entire Gibson dataset, Training scene count=722022.03 | 48.5 | 5,639.6 |