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Robotic Grasping datasets
archive 2025-07-28
22 datasets carry the task tag "Robotic Grasping" (the task itself: Robotic Grasping), ordered by the archive's paper count. Page 1 of 1: 22 shown of 22. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Robotic Grasping datasets 1–22 of 22
EGAD (Evolved Grasping Analysis Dataset)
The Evolved Grasping Analysis Dataset (EGAD) comprises over 2000 generated objects aimed at training and evaluating robotic visual grasp detection algorithms.
31 papers · 0 benchmarks
Dex-Net 2.0 is a dataset associating 6.7 million point clouds and analytic grasp quality metrics with parallel-jaw grasps planned using robust quasi-static GWS analysis on a dataset of 1,500 3D object models.
30 papers · 0 benchmarks
GraspNet-1Billion provides large-scale training data and a standard evaluation platform for the task of general robotic grasping.
29 papers · 1 benchmark
An open database for sharing robotic experience, which provides an initial pool of 15 million video frames, from 7 different robot platforms, and study how it can be used to learn generalizable models for vision-based robotic manipulation.
28 papers · 0 benchmarks
Are current 3D object tracking methods truely robust enough for low-fidelity depth sensors like the iPhone LiDAR?
8 papers · 2 benchmarks
A Modular Simulation Framework and Benchmark for Robot Learning.
7 papers · 0 benchmarks
We leverage knowledge from foundation models to introduce Grasp-Anything, a new large-scale dataset with 1M (one million) samples and 3M objects, substantially surpassing prior datasets in diversity and magnitude.
5 papers · 0 benchmarks
Robot grasping is often formulated as a learning problem.
3 papers · 0 benchmarks
A dataset for position-constrained robot grasp planning.
2 papers · 0 benchmarks
The Calandra dataset provides the data from a pair of tactile sensors attached to a jaw gripper (left and right) alongside the RGB images.
2 papers · 0 benchmarks
Event-Stream Dataset is a robotic grasping dataset with 91 objects.
1 paper · 0 benchmarks
Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data.
1 paper · 0 benchmarks
GraspClutter6D is a large-scale real-world dataset for robust object perception and robotic grasping in cluttered environments.
1 paper · 0 benchmarks
Accompanying expert data and trained models for 2021 IROS paper on Multiview Manipulation.
1 paper · 0 benchmarks
NBMOD (Noisy Background Multi-Object Dataset for grasp detection)
Introduction NBMOD is a dataset created for researching the task of specific object grasp detection by robots in noisy environments.
1 paper · 1 benchmark
Photorealistic indoor dataset designed to enable the application of deep learning techniques to a wide variety of robotic vision problems.
1 paper · 0 benchmarks
The ViCoS Towel Dataset is a state-of-the-art benchmark for grasp point localization on cloth objects, specifically towels.
1 paper · 1 benchmark
rc_49 (rc_49 Grasping Dataset)
Includes several sets of synthetic stereo images labelled with grasp rectangles representing parallel-jaw grasps (Cornell-like format).
1 paper · 0 benchmarks
HouseCat6D (A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios)
Estimating 6D object poses is a major challenge in 3D computer vision.
0 papers · 0 benchmarks
The KIT Whole-Body Human Motion Database is a large-scale dataset of whole-body human motion with methods and tools, which allows a unifying representation of captured human motion, and efficient search in the database, as well as the…
0 papers · 0 benchmarks
Dataset: RGB-D Images for Real-World and Synthetic Object Scenes This dataset consists of both real-world and synthetic RGB-D images, designed for object detection, classification, and segmentation tasks, particularly for primitive shape…
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.