Papers › Occupancy Anticipation for Efficient Exploration and Navigation
Occupancy Anticipation for Efficient Exploration and Navigation
Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman
State-of-the-art navigation methods leverage a spatial memory to generalize to new environments, but their occupancy maps are limited to capturing the geometric structures directly observed by the agent. We propose occupancy anticipation, where the agent uses its egocentric RGB-D observations to infer the occupancy state beyond the visible regions. In doing so, the agent builds its spatial awareness more rapidly, which facilitates efficient exploration and navigation in 3D environments. By exploiting context in both the egocentric views and top-down maps our model successfully anticipates a broader map of the environment, with performance significantly better than strong baselines. Furthermore, when deployed for the sequential decision-making tasks of exploration and navigation, our model outperforms state-of-the-art methods on the Gibson and Matterport3D datasets. Our approach is the winning entry in the 2020 Habitat PointNav Challenge. Project page: http://vision.cs.utexas.edu/projects/occupancy_anticipation/
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Robot Navigation | Habitat 2020 Point Nav test-std | OccupancyAnticipation | DISTANCE_TO_GOAL | 2.567 | #3 of 10 | Archive leaderboard | report |
| Robot Navigation | Habitat 2020 Point Nav test-std | OccupancyAnticipation | SOFT_SPL | 0.473 | #3 of 10 | Archive leaderboard | report |
| Robot Navigation | Habitat 2020 Point Nav test-std | OccupancyAnticipation | SPL | 0.22 | #3 of 10 | Archive leaderboard | report |
| Robot Navigation | Habitat 2020 Point Nav test-std | OccupancyAnticipation | SUCCESS | 0.289 | #3 of 10 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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