Robot action execution model learning data

<strong>Short summary</strong> This dataset accompanies our paper <code>A. Mitrevski, P. G. Plöger, and G. Lakemeyer, "Representation and Experience-Based Learning of Explainable Models for Robot Action Execution," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.</code> <strong>Contents</strong> There are three zip archives included, each of them a dump of a MongoDB database corresponding to one of the three experiments in the paper: Grasping a drawer handle (<em>handle_drawer_logs.zip</em>) Grasping a fridge handle (<em>handle_fridge_logs.zip</em>) Pulling an object (<em>pull_logs.zip</em>) All three experiments were performed with a Toyota HSR. Only the data necessary for learning the models used in our experiments are included here. <strong>Usage</strong> After unzipping the archives, each database can be restored with the command mongorestore [directory_name] This will create a MongoDB database with the name of the directory (<em>handle_drawer_logs</em>, <em>handle_fridge_logs</em>, and <em>pull_logs</em>). Code for processing the data and model learning can be found in our GitHub repository.