Robot object grasping and drawer throwing data

<strong>Contents</strong> There are two zip archives included (<em>grasping.zip</em> and <em>throwing.zip</em>), corresponding to two experiments (grasping objects and throwing them in a drawer), both performed with a Toyota HSR. Each archive contains two directories - <em>learning</em> and <em>generalisation</em> - with object-specific learning and generalisation data. For each object, we provide a dump of a MongoDB database, which contains data sufficient for learning the models used in our experiments. <strong>Usage</strong> After unzipping the archives, each database can be restored with the command mongorestore [data_directory_name] This will create a MongoDB database with the name of the directory. Code for processing the data and model learning can be found in our GitHub repository.