Browse State-of-the-Art › Robotic Grasping
Robotic Grasping
94 papers with code · 4 benchmarks · 22 datasets archive 2025-07-28
This task is composed of using Deep Learning to identify how best to grasp objects using robotic arms in different scenarios. This is a very complex task as it might involve dynamic environments and objects unknown to the network.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
4 leaderboard tables shown for this task, 4 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 |
|---|---|---|---|---|---|
| GraspNet-1Billion (8 rows) | FlexLoG-CD | Rethinking 6-Dof Grasp Detection: A Flexible Framework for... | — | — | Compare |
| Cornell Grasp Dataset (7 rows) | grasp_det_seg_cnn (rgb only, IW split) | End-to-end Trainable Deep Neural Network for Robotic Grasp... | code | — | Compare |
| Jacquard dataset (3 rows) | Efficient-Grasping | Lightweight Convolutional Neural Network with Gaussian-based... | — | — | Compare |
| NBMOD (1 row) | RA-GraspNet (GraspNet with Rotation Anchor) | NBMOD: Find It and Grasp It in Noisy Background | 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
22 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 94 papers with code (246 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 Dec 2015 113 repositories listed Syntology ran 5 of 26 samples · 21 unverified · 4 pointer-only (licence)Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks.
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10 Aug 2020 4 repositories listedSpecifically, our generative model is able to synthesize high-quality human grasps, given only on a 3D object point cloud.
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11 Sep 2019 4 repositories listedIn this paper, we present a modular robotic system to tackle the problem of generating and performing antipodal robotic grasps for unknown objects from n-channel image of the scene.
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12 Feb 2023 3 repositories listedDigital twin is a problem of augmenting real objects with their digital counterparts.
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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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3 Oct 2017 3 repositories listedSince product images are readily available for a wide range of objects (e.
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9 Dec 2014 3 repositories listed Syntology ran 1 of 18 samples · 17 unverifiedWe present an accurate, real-time approach to robotic grasp detection based on convolutional neural networks.
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9 Apr 2024 2 repositories listedA crucial practical aspect for an object identification model is to be flexible in input size.
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2 Nov 2022 2 repositories listedWe apply CausalCF to complex robotic tasks and show that it improves the RL agent's robustness using CausalWorld.
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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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30 Sep 2021 2 repositories listed Syntology ran 1 of 3 samples · 2 unverifiedThis paper details our winning submission to Phase 1 of the 2021 Real Robot Challenge; a challenge in which a three-fingered robot must carry a cube along specified goal trajectories.
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23 Sep 2021 2 repositories listedOur first experiment investigates the need for rich tactile sensing in the rewards of RL-based grasp refinement algorithms for multi-fingered robotic hands.
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16 Feb 2021 2 repositories listedControlling robots to perform tasks via natural language is one of the most challenging topics in human-robot interaction.
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23 Jan 2020 2 repositories listedOne particular requirement for such robots is that they are able to understand spatial relations and can place objects in accordance with the spatial relations expressed by their user.
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19 Jun 2019 2 repositories listedThis paper introduces PyRobot, an open-source robotics framework for research and benchmarking.
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1 Oct 2018 2 repositories listedA deep learning architecture is proposed to predict graspable locations for robotic manipulation.
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24 Jun 2025 1 repository listedDeep object pose estimators are notoriously overconfident.
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17 Apr 2025 1 repository listedTactile sensing is crucial for achieving human-level robotic capabilities in manipulation tasks.
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17 Mar 2025 1 repository listedOur method detects all objects as keypoints and uses these keypoints to annotate marks on images, aiming to facilitate GPT-4o's zero-shot spatial reasoning.
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14 Mar 2025 1 repository listedSome experiments are also run in two different laboratories using same protocols to further analyze the repeatability of our results.
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4 Feb 2025 1 repository listedOur motivation is to leverage the latent generalization ability of the diffusion model to address the domain generalization challenge in object pose estimation.
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18 Dec 2024 1 repository listed Syntology ran 2 of 9 samples · 7 unverifiedPrompts play a critical role in unleashing the power of language and vision foundation models for specific tasks.
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5 Dec 2024 1 repository listedThe result is a supergeometric modeling that can be used for symmetric objects with and without holes with a simple distance function for the fitting.
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Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything4 Dec 2024 1 repository listedWe present Measure Anything, a comprehensive vision-based framework for dimensional measurement of objects with circular cross-sections, leveraging the Segment Anything Model (SAM).
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16 Sep 2024 1 repository listedGiven a text query, RGS determines a stable grasp pose to manipulate the referred object in the robot's workspace.
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11 Jul 2024 1 repository listed Syntology ran 6 of 7 samples · 1 unverifiedIn this work, we propose an economic framework for 6-DoF grasp detection, aiming to economize the resource cost in training and meanwhile maintain effective grasp performance.
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10 Jun 2024 1 repository listedIn this research, we introduce a deep reinforcement learning-based control approach to address the intricate challenge of the robotic pre-grasping phase under microgravity conditions.
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9 May 2024 1 repository listedWe then employ these approaches to create SIMPLER, a collection of simulated environments for manipulation policy evaluation on common real robot setups.
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12 Apr 2024 1 repository listedThe motion planner is evaluated on the physical hardware of the two humanoid robots NICO and NICOL in a human-in-the-loop grasping scenario.
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2 Apr 2024 1 repository listedWe focus on the generalization ability of the 6-DoF grasp detection method in this paper.
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