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<!DOCTYPE html>
<html>
<head>
<title>SQUIRREL</title>
<meta charset="utf-8">
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<meta name="description" content="This is the website of the EU funded project "SQUIRREL - Clearing Clutter Bit by Bit", which addresses challenges posed to robots by cluttered environments.">
<meta name="keywords" content="robot project EU clutter">
</head>
<body class="public-deliverables">
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<div id="navigation">
<ul class="centered">
<li class="home"><a href="home.html">Home</a></li>
<li class="objectives"><a href="objectives.html">Objectives</a></li>
<li class="consortium"><a href="consortium.html">Consortium</a></li>
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<li class="contacts"><a href="contacts.html">Contacts</a></li>
<li class="public-deliverables"><a href="public-deliverables.html">Public Deliverables</a></li>
<li class="publications"><a href="publications.html">Publications</a></li>
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</ul>
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</div>
<div class="content centered">
<h1>PUBLIC DELIVERABLES</h1>
<div class="publicdeliverables">
<div class="item">
<h2><b><a href=docs/D2.1_19032015.pdf>D2.1 Report on user behavior</a></b></h2>
<div class="text">
<bold> V. Charissi, M. Lohse, C. Zaga, V. Evers</bold> - University of Twente <br>
<i>This deliverable presents the first results of WP 2 (Robust User Interaction in Crowded Environments). It addresses mainly T2.1 (User Behavior Analysis and Scenario Definition) based on a contextual analysis on children's
collaborative play (without robot) and a first user study on children's engagement with a robot. It also includes a first corpus of annotated data from the first user study. </i> </div>
</div>
<br>
<div class="item">
<h2><b><a href="https://iis.uibk.ac.at/datasets/ior">Object relation dataset</a></b></h2>
<div class="text">
<bold> S. Krivic</bold> - University of Innsbruck <br>
<i> This dataset contains the set of possible object-object spatial relations. Learning object-object relations is a difficult problem with sparse, noisy, corrupted and incomplete information which makes it an interesting and challenging machine learning problem. We formulate this problem as the problem of learning missing edges in a multigraph. </i> </div>
</div>
<br>
<div class="item">
<h2><b><a href="https://repo.acin.tuwien.ac.at/tmp/permanent/dataset_toys">TUW Toy Models Dataset</a></b></h2>
<div class="text">
TU Vienna <br>
<i> This website provides models of various toys learned using a mobile robot with an Asus Xtion Pro Live. Each model consists of a point cloud of the complete object and the set of all training views with their poses relative to the first view and with a segmentation mask per view. The dataset also contains mesh models for some of the objects.
The model database consists of 19 objects, where some objects are modelled more than once in different poses (lying on different sides). The database contains rigid (plastic) as well as soft (plush animals) objects. </i> </div>
</div>
<br>
<div class="item">
<h2><b><a href="https://repo.acin.tuwien.ac.at/tmp/permanent/dataset_index.php">TUW Object Instance Recognition Dataset</a></b></h2>
<div class="text">
TU Vienna <br>
<i> This website provides annotated RGB-D point clouds of indoor environments. The TUW dataset contains sequences of point clouds in 15 static and 3 partly dynamic environments. Each view of a scene presents multiple objects; some object instances occur multiple times and are highly occluded in certain views. The model database consists of 17 models with a maximum extent of 30 cm, which are partly symmetric and/or lack distinctive surface texture. The dataset consists of the reconstructed 3D object models, the individual key frames of the models, test scenes and the 6DOF pose of each object present in the respective view. Each point cloud is represented by RGB color, depth and normal information.
Furthermore, we provide annotation for the Willow and Challenge dataset. </i> </div>
</div>
<br>
<br>
<h1>PUBLIC SOFTWARE REPOSITORIES</h1>
<div class="item">
<h2><b>squirrel_robotino</b></h2>
<div class="text">
<p>
This repository holds packages for hardware launch files and configuration, as well as the simulation model for starting up the basic layer for operating Robotino. It can be reused by any user who operates an own Robotino platform.
</p>
<a href="https://github.com/squirrel-project/squirrel_robotino">https://github.com/squirrel-project/squirrel_robotino</a>
</div>
</div>
<br>
<div class="item">
<h2><b>squirrel_common</b></h2>
<div class="text">
<p>
Repository for message, service and action interface related SQUIRREL packages. This repository is necessary to operate other SQUIRREL repositories.
</p>
<a href="https://github.com/squirrel-project/squirrel_common">https://github.com/squirrel-project/squirrel_common</a>
</div>
</div>
<br>
<div class="item">
<h2><b>squirrel_driver</b></h2>
<div class="text">
<p>
This repository includes packages that provide access to the Robotino hardware over ROS messages and services, e.g. for mobile base, arm, camera sensors, scanners, etc.
</p>
<a href="https://github.com/squirrel-project/squirrel_driver">https://github.com/squirrel-project/squirrel_driver</a>
</div>
</div>
<br>
<div class="item">
<h2><b>squirrel_calibration</b></h2>
<div class="text">
<p>
Bundles the automatic calibration procedures for determining the mounting positions of laser scanner, pan-tilt unit, camera, and arm. This repository can be beneficial to any user who operates a robot with similar components (laser scanners, cameras, arms in general) as the SQUIRREL Robotino.
</p>
<a href="https://github.com/squirrel-project/squirrel_calibration">https://github.com/squirrel-project/squirrel_calibration</a>
</div>
</div>
<br>
<div class="item">
<h2><b>squirrel_recommender</b></h2>
<div class="text">
<p>
This repository contains a collection of files, scripts, manuals and other things that can be used to setup the Robotino platform. Furthermore, it contains backups of configuration files.
</p>
<a href="https://github.com/squirrel-project/squirrel_recommender">https://github.com/squirrel-project/squirrel_recommender</a>
</div>
</div>
<br>
<div class="item">
<h2><b>squirrel_manipulation</b></h2>
<div class="text">
<p>
This repository contains the software concerned with the manipulation tasks of the project, e.g. planning of trajectories, pick and place actions, object manipulation, etc.
</p>
<a href="https://github.com/squirrel-project/squirrel_manipulation">https://github.com/squirrel-project/squirrel_manipulation</a>
</div>
</div>
<br>
<div class="item">
<h2><b>squirrel_motion_planner</b></h2>
<div class="text">
<p>
Contains the 8-DOF motion planner utilized by the squirrel_manipulation repository.
</p>
<a href="https://github.com/squirrel-project/squirrel_motion_planner">https://github.com/squirrel-project/squirrel_motion_planner</a>
</div>
</div>
<br>
<div class="item">
<h2><b>squirrel_nav</b></h2>
<div class="text">
<p>
This is the repository for navigation, localization and mapping related SQUIRREL packages.
</p>
<a href="https://github.com/squirrel-project/squirrel_nav">https://github.com/squirrel-project/squirrel_nav</a>
</div>
</div>
<br>
<div class="item">
<h2><b>squirrel_perception</b></h2>
<div class="text">
<p>
This repository contains packages for attention, segmentation, object perception, and tracking.
</p>
<a href="https://github.com/squirrel-project/squirrel_perception">https://github.com/squirrel-project/squirrel_perception</a>
</div>
</div>
<br>
<div class="item">
<h2><b>squirrel_hri</b></h2>
<div class="text">
<p>
Contains various human robot interaction modules such as human tracking and gesture recognition, speech understanding, expressive behaviors and engagement detection.
</p>
<a href="https://github.com/squirrel-project/squirrel_hri">https://github.com/squirrel-project/squirrel_hri</a>
</div>
</div>
<br>
<div class="item">
<h2><b>squirrel_prediction</b></h2>
<div class="text">
<p>
Repository for prediction and learning related packages.
</p>
<a href="https://github.com/squirrel-project/squirrel_prediction">https://github.com/squirrel-project/squirrel_prediction</a>
</div>
</div>
<br>
<div class="item">
<h2><b>squirrel_planning</b></h2>
<div class="text">
<p>
This repository contains the software related to the planning activities.
</p>
<a href="https://github.com/squirrel-project/squirrel_planning">https://github.com/squirrel-project/squirrel_planning</a>
</div>
</div>
<br>
<div class="item">
<h2><b>ROSPlan</b></h2>
<div class="text">
<p>
The ROSPlan framework provides a generic method for task planning in a ROS system. ROSPlan encapsulates both planning and dispatch. It possesses a simple interface, and already includes interfaces to common ROS libraries.
</p>
<a href="https://github.com/KCL-Planning/ROSPlan">https://github.com/KCL-Planning/ROSPlan</a>
</div>
</div>
<br>
<div class="item">
<h2><b>SMTPlan</b></h2>
<div class="text">
<p>
SMTPlan+ is a planner for hybrid systems. It supports all the features of PDDL+, including exogenous events and continuous processes.
</p>
<a href="https://github.com/KCL-Planning/SMTPlan">https://github.com/KCL-Planning/SMTPlan</a>
</div>
</div>
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<a class="text" href="http://cordis.europa.eu/fp7/ict" target="_blank">EUROPEAN COMMISSION 7TH FRAMEWORK</a>
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<div class="funding "><span class="title">FUNDING</span>This project is funded by the European Community's Seventh Framework Programme under grant agreement No 610532.</div>
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