Browse State-of-the-Art › PointGoal Navigation
PointGoal Navigation
15 papers with code · 1 benchmark · 2 datasets archive 2025-07-28
Point goal navigation is a task where an agent navigates to a specific location, defined by coordinates (x, y), in an environment using sensory inputs like vision or depth, without a pre-built map, relying on real-time perception and decision-making.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Gibson PointGoal Navigation (2 rows) | Depth DDPPO | DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
15 shown of 15 papers with code (25 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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2 Apr 2019 13 repositories listed Syntology ran 3 of 15 samples · 12 unverified · 15 pointer-only (licence)We present Habitat, a platform for research in embodied artificial intelligence (AI).
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1 Nov 2019 8 repositories listedWe leverage this scaling to train an agent for 2.
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13 Dec 2019 4 repositories listed Syntology ran 0 of 2 samples · 2 unverifiedSecond, we investigate the sim2real predictivity of Habitat-Sim for PointGoal navigation.
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16 Sep 2021 3 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)When compared to existing photorealistic 3D datasets such as Replica, MP3D, Gibson, and ScanNet, images rendered from HM3D have 20 - 85% higher visual fidelity w.
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10 Apr 2020 2 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedThe use of learning provides flexibility with respect to input modalities (in the SLAM module), leverages structural regularities of the world (in global policies), and provides robustness to errors in state estimation…
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17 Dec 2022 1 repository listedIn this work, we compare the state-of-the-art Deep Reinforcement Learning based approaches with Partially Observable Markov Decision Process (POMDP) formulation of the point goal navigation problem.
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11 Oct 2022 1 repository listedSpecifically, the Pick skill involves a robot picking an object from a table.
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2 Jun 2022 1 repository listedHowever, for PointNav in a realistic setting (RGB-D and actuation noise, no GPS+Compass), this is an open question; one we tackle in this paper.
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19 Apr 2022 1 repository listedThis feature is challenging for occupancy-based agents which are usually trained in crowded domestic environments with plenty of occupancy information.
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2 Feb 2022 1 repository listedAll the proposed navigation models have been trained with the Habitat simulator on a synthetic office environment and have been tested on the same real-world environment using a real robotic platform.
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17 Sep 2021 1 repository listedUnder this setting, the agent incurs a penalty for using this privileged information, encouraging the agent to only leverage this information when it is crucial to learning.
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12 May 2021 1 repository listed Syntology ran 1 of 7 samples · 6 unverifiedIn this work, we detail how to transfer the knowledge acquired in simulation into the real world.
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12 Mar 2021 1 repository listedWe accelerate deep reinforcement learning-based training in visually complex 3D environments by two orders of magnitude over prior work, realizing end-to-end training speeds of over 19, 000 frames of experience per…
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9 Jul 2020 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)PointGoal Navigation is an embodied task that requires agents to navigate to a specified point in an unseen environment.
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8 Jan 2020 1 repository listedIn this paper, we combine the best of both worlds with a modular approach that learns a spatial representation of a scene that is trained to be effective when coupled with traditional geometric planners.
Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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