Browse State-of-the-Art › Object Rearrangement
Object Rearrangement
23 papers with code · 1 benchmark · 1 dataset 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 |
|---|---|---|---|---|---|
| Open6DOR V2 (5 rows) | SoFar | SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and... | 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
1 dataset 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.
Most implemented papers archive 2025-07-28
23 shown of 23 papers with code (63 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.
-
15 Mar 2023 11 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 1 pointer-only (licence)We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs.
-
6 Oct 2021 3 repositories listedThe new monotone solver is integrated with a global planner to solve non-monotone instances with high-quality solutions fast.
-
18 Feb 2025 2 repositories listedSpatial intelligence is a critical component of embodied AI, promoting robots to understand and interact with their environments.
-
19 Mar 2022 2 repositories listedObject rearrangement is important for many applications but remains challenging, especially in confined spaces, such as shelves, where objects cannot be accessed from above and they block reachability to each other.
-
28 Jan 2021 2 repositories listedDFSDP is extended to solve single-buffer, non-monotone instances, given a choice of an object and a buffer.
-
18 Jun 2019 2 repositories listed Syntology ran 0 of 2 samples · 2 unverifiedWe find that, using our approach, agents can learn to solve to diverse, temporally-extended tasks such as object sorting and multi-object rearrangement, including from raw pixel observations.
-
16 May 2025 1 repository listedTo facilitate research addressing these challenges, we introduce PARSEC, an object rearrangement benchmark for learning user organizational preferences from observed scene context to place objects in a partially…
-
9 Dec 2024 1 repository listedHigh-quality benchmarks are the foundation for embodied AI research, enabling significant advancements in long-horizon navigation, manipulation and rearrangement tasks.
-
6 Nov 2024 1 repository listedWe present 3DGS-CD, the first 3D Gaussian Splatting (3DGS)-based method for detecting physical object rearrangements in 3D scenes.
-
24 Oct 2024 1 repository listedIn this work, we propel the pioneer construction of the benchmark and approach for table-top Open-instruction 6-DoF Object Rearrangement (Open6DOR).
-
27 Jun 2024 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)Understanding how humans cooperatively rearrange household objects is critical for VR/AR and human-robot interaction.
-
24 Jun 2024 1 repository listedWe present Reinforcement Learning via Auxiliary Task Distillation (AuxDistill), a new method that enables reinforcement learning (RL) to perform long-horizon robot control problems by distilling behaviors from auxiliary…
-
23 Feb 2024 1 repository listedFor the outer loop, we learn a grasp policy aware of object matching and grasp capability guided by task-level rewards.
-
16 Oct 2023 1 repository listedOur method reaches much higher success rates on a variety of deformable rearrangement tasks (96.
-
11 Sep 2023 1 repository listed Syntology ran 5 of 8 samples · 3 unverifiedWe introduce the task of localizing a flexible number of objects in real-world 3D scenes using natural language descriptions.
-
12 Jul 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedThe composed value maps are then used in a model-based planning framework to zero-shot synthesize closed-loop robot trajectories with robustness to dynamic perturbations.
-
17 Nov 2022 1 repository listed Syntology ran 4 of 9 samples · 5 unverifiedThis formalism is implemented in three steps: assigning a consistent local coordinate frame to the task-relevant object parts, determining the location and orientation of this coordinate frame on unseen object…
-
6 Sep 2022 1 repository listedTo tackle the entire task, prior work chains multiple stationary manipulation skills with a point-goal navigation skill, which are learned individually on subtasks.
-
10 Jul 2022 1 repository listedWe devise a 3D scene graph representation, contact graph+ (cg+), for efficient sequential task planning.
-
22 Feb 2022 1 repository listedRobots need the capability of placing objects in arbitrary, specific poses to rearrange the world and achieve various valuable tasks.
-
15 Nov 2021 1 repository listedObject rearrangement has recently emerged as a key competency in robot manipulation, with practical solutions generally involving object detection, recognition, grasping and high-level planning.
-
18 Sep 2021 1 repository listedNon-prehensile multi-object rearrangement is a robotic task of planning feasible paths and transferring multiple objects to their predefined target poses without grasping.
-
21 Nov 2020 1 repository listedThe learned model outperforms both traditional pipelines and learned ablations by 9.
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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections