Grasping-Dataset
OpenML dataset with id 43708
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102533/Grasping-Dataset.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 29 (numeric: 29, symbolic: 0 and in total binary: 0 )
Number of instances: 992,641
Number of instances with missing values: 0
Number of missing values: 0
Context
At Shadow Robot, we are leaders in robotic grasping and manipulation. As part of our Smart Grasping System development, we're developing different algorithms using machine learning.
This first public dataset was created to investigate the use of machine learning to predict the stability of a grasp. Due to the limitations of the current simulation, it is a restricted dataset - only grasping a ball. The dataset is annotated with an objective grasp quality and contains the different data gathered from the joints (position, velocity, effort).
You can find all the explanations for this dataset over on Medium.
Inspiration
I'll be more than happy to discuss this dataset as well as which dataset you'd like to have to try your hands at solving real world robotic problems focused on grasping using machine learning. Let's connect on twitter (ugocupcic)!
This page was built for dataset: Grasping-Dataset
