Robot action execution model learning data

<p><strong>Short summary</strong></p> <p>This dataset accompanies our paper</p> <p><code>A. Mitrevski, P. G. Pl&ouml;ger, and G. Lakemeyer, &quot;Representation and Experience-Based Learning of Explainable Models for Robot Action Execution,&quot; in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.</code></p> <p>&nbsp;</p> <p><strong>Contents</strong></p> <p>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:</p> <ul> <li>Grasping a drawer handle (<em>handle_drawer_logs.zip</em>)</li> <li>Grasping a fridge handle (<em>handle_fridge_logs.zip</em>)</li> <li>Pulling an object (<em>pull_logs.zip</em>)</li> </ul> <p>All three experiments were performed with a Toyota HSR. Only the data necessary for learning the models used in our experiments are included here.</p> <p>&nbsp;</p> <p><strong>Usage</strong></p> <p>After unzipping the archives, each database can be restored with the command</p> <blockquote> <p>mongorestore [directory_name]</p> </blockquote> <p>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>).</p> <p>Code for processing the data and model learning&nbsp;can be found in our&nbsp;<a href="https://github.com/alex-mitrevski/explainable-robot-execution-models">GitHub repository</a>.</p>