Browse State-of-the-Art › Grasp Generation
Grasp Generation
21 papers with code · 0 benchmarks · 4 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
21 shown of 21 papers with code (52 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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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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15 Jan 2023 2 repositories listed Syntology ran 5 of 5 samples · 0 unverifiedSceneDiffuser provides a unified model for solving scene-conditioned generation, optimization, and planning.
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25 Aug 2020 2 repositories listedTraining computers to understand, model, and synthesize human grasping requires a rich dataset containing complex 3D object shapes, detailed contact information, hand pose and shape, and the 3D body motion over time.
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25 May 2019 2 repositories listed Syntology ran 0 of 22 samples · 22 unverified · 22 pointer-only (licence)We evaluate our approach in simulation and real-world robot experiments.
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1 Jul 2025 1 repository listedAccepted in the ICIP 2025 We present a novel transformer-based framework for whole-body grasping that addresses both pose generation and motion infilling, enabling realistic and stable object interactions.
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1 Mar 2025 1 repository listedOur system initiates the approach-to-grasp action based on user's command and automatically configures the DoFs of a prosthetic hand.
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19 Jul 2024 1 repository listed Syntology ran 7 of 8 samples · 1 unverified · 8 pointer-only (licence)Generating realistic human grasps is a crucial yet challenging task for applications involving object manipulation in computer graphics and robotics.
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7 May 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 1 pointer-only (licence)ASK-Splat enables geometric, semantic, and affordance understanding of 3D scenes, which is critical in many robotics tasks; (ii) SEE-Splat, a real-time scene-editing module using 3D semantic masking and infilling to…
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27 Mar 2024 1 repository listedSpecifically, Gaussian encoding and the grid-based strategy are applied to predict grasp heatmaps as guidance to aggregate local points into graspable regions and provide global semantic information.
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28 Nov 2023 1 repository listed Syntology ran 6 of 7 samples · 1 unverifiedGeneration-based methods that generate grasping postures conditioned on the object can often produce diverse grasping, but they are insufficient for high grasping success due to lack of discriminative information.
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6 Oct 2023 1 repository listedThis framework addresses two main issues: the lack of an off-the-shelf vision module for detecting object pose and the generalization of QD trajectories to the whole robot operational space.
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5 Oct 2023 1 repository listed Syntology ran 5 of 8 samples · 3 unverified · 8 pointer-only (licence)This paper presents a novel object-centric contact representation ContactGen for hand-object interaction.
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9 Mar 2023 1 repository listedWe propose a new 6-DoF grasp pose synthesis approach from 2D/2.
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20 Dec 2022 1 repository listedEstimating 6D object poses is a major challenge in 3D computer vision.
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19 Sep 2022 1 repository listedGreat success has been achieved in the 6-DoF grasp learning from the point cloud input, yet the computational cost due to the point set orderlessness remains a concern.
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23 May 2022 1 repository listedWe are able to achieve 91% grasping success for unknown objects in simulation and we demonstrate the model's capabilities of synthesizing high-quality grasps also for real unseen objects.
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30 Mar 2022 1 repository listedVision-based grasp estimation is an essential part of robotic manipulation tasks in the real world.
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29 Mar 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedWe start to collect 1, 800 common household objects and annotate their affordances to construct the first knowledge base: Oak.
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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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25 Mar 2021 1 repository listedOur novel grasp representation treats 3D points of the recorded point cloud as potential grasp contacts.
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9 Jun 2020 1 repository listedInherent morphological characteristics in objects may offer a wide range of plausible grasping orientations that obfuscates the visual learning of robotic grasping.
Syntology lines on 7 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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