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Visual Navigation

132 papers with code · 6 benchmarks · 19 datasets archive 2025-07-28

Computer VisionRobots

Visual Navigation is the problem of navigating an agent, e.g. a mobile robot, in an environment using camera input only. The agent is given a target image (an image it will see from the target position), and its goal is to move from its current position to the target by applying a sequence of actions, based on the camera observations only.

Source: Vision-based Navigation Using Deep Reinforcement Learning

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 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.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
Cooperative Vision-and-Dialogue Navigation (19 rows) NaviLLM Towards Learning a Generalist Model for Embodied Navigation code Syntology ran 10 of 15 samples · 5 unverified Compare
R2R (11 rows) SUSA Agent Journey Beyond RGB: Unveiling Hybrid Semantic-Spatial... code — Compare
SOON Test (6 rows) AutoVLN Learning from Unlabeled 3D Environments for Vision-and-Language Navigation code — Compare
AI2-THOR (2 rows) MVV-IN Multimodal Aggregation Approach for Memory Vision-Voice Indoor... — — Compare
Dmlab-30 (1 row) PopArt-IMPALA Multi-task Deep Reinforcement Learning with PopArt code Syntology ran 3 of 3 samples · 0 unverified Compare
Help, Anna! (HANNA) (1 row) Prevalent Towards Learning a Generic Agent for Vision-and-Language... code Syntology ran 0 of 1 samples · 1 unverified 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

19 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 132 papers with code (316 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.

Syntology lines on 10 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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