Browse State-of-the-Art › Robot Task Planning
Robot Task Planning
23 papers with code · 2 benchmarks · 7 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 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 |
|---|---|---|---|---|---|
| PackIt (4 rows) | PackNN | PackIt: A Virtual Environment for Geometric Planning | code | Syntology ran 0 of 8 samples · 8 unverified | Compare |
| SheetCopilot (2 rows) | SheetAgent (GPT-3.5) | SheetAgent: Towards A Generalist Agent for Spreadsheet Reasoning... | — | — | 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
7 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
23 shown of 23 papers with code (48 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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4 Apr 2022 3 repositories listedWe show how low-level skills can be combined with large language models so that the language model provides high-level knowledge about the procedures for performing complex and temporally-extended instructions, while…
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15 Feb 2020 3 repositories listed Syntology ran 0 of 4 samples · 4 unverifiedOur second contribution is to provide the first fully automatic Spatial PerceptIon eNgine(SPIN) to build a DSG from visual-inertial data.
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27 Oct 2018 3 repositories listedWe show that a mild relaxation of the task and workspace constraints implicit in existing object grasping datasets can cause neural network based grasping algorithms to fail on even a simple block stacking task when…
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30 Jan 2022 2 repositories listed Syntology ran 4 of 30 samples · 26 unverifiedThe canonical object representation is learned solely in simulation and then used to parse a category-level, task trajectory from a single demonstration video.
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21 Mar 2025 1 repository listedNew challenges inevitably arise in bimanual manipulation, necessitating not only effective task decomposition but also efficient task allocation.
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25 Feb 2025 1 repository listedThese relevant actions can be pre-planned to form long-horizon subtrees, significantly enhancing the planning speed and collaboration efficiency of MRBTP.
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29 Nov 2024 1 repository listedTo address this, we propose RoboMatrix, a skill-centric hierarchical framework designed for scalable robot task planning and execution in open-world environments.
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28 Sep 2024 1 repository listedWe demonstrate the effectiveness and generalizability of SELP across different robot agents and tasks, including drone navigation and robot manipulation.
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23 Sep 2024 1 repository listedSpecifically, a Proposal-Execution-Feedback-Adjustment (PEFA) mechanism is designed to decompose and assign actions for individual robots, where a centralized task assigner makes a task planning proposal to decompose…
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12 Dec 2023 1 repository listedHeuristic methods, like monte-carlo tree search, though effective for large state space, but struggle if action space is large.
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2 Nov 2023 1 repository listedBy generating PDs from language instruction and scene observation, we can drive symbolic planners in a language-guided framework.
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27 Jun 2023 1 repository listed Syntology ran 0 of 19 samples · 19 unverifiedThe ability to detect and analyze failed executions automatically is crucial for an explainable and robust robotic system.
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8 Jun 2023 1 repository listedTraditional robot task planning methods face challenges when dealing with highly unstructured environments and complex tasks.
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30 May 2023 1 repository listedIn this work, we propose a SheetCopilot agent that takes natural language task and control spreadsheet to fulfill the requirements.
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20 Dec 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Despite recent success in large language model (LLM) reasoning, LLMs struggle with hierarchical multi-step reasoning tasks like generating complex programs.
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17 Jul 2022 1 repository listedWe introduce BusyBoard, a toy-inspired robot learning environment that leverages a diverse set of articulated objects and inter-object functional relations to provide rich visual feedback for robot interactions.
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11 Jul 2022 1 repository listed3D scene graphs (3DSGs) are an emerging description; unifying symbolic, topological, and metric scene representations.
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18 Jan 2022 1 repository listedHowever, the plans produced naively by LLMs often cannot map precisely to admissible actions.
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19 Sep 2021 1 repository listedThis work proposes a framework to learn task-relevant grasping for industrial objects without the need of time-consuming real-world data collection or manual annotation.
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31 May 2021 1 repository listedDespite the success of reinforcement learning methods, they have yet to have their breakthrough moment when applied to a broad range of robotic manipulation tasks.
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21 Jul 2020 1 repository listed Syntology ran 0 of 8 samples · 8 unverifiedThe ability to jointly understand the geometry of objects and plan actions for manipulating them is crucial for intelligent agents.
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1 May 2019 1 repository listedThe paper also presents a task planning algorithm for the weighted FOON to allocate manipulation action load to the robot and human to achieve optimal performance while minimizing human effort.
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30 Mar 2018 1 repository listedIn this work, we propose a neural network architecture and associated planning algorithm that (1) learns a representation of the world useful for generating prospective futures after the application of high-level…
Syntology lines on 5 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