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<!DOCTYPE html>
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<meta name="description" content="Intuitive robot integration via virtual reality workspaces.">
<meta name="keywords" content="robotics, virtual-reality, human-robot interaction">
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<title>Intuitive Robot Integration via Virtual Reality Workspaces</title>
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<h1 class="title is-1 publication-title">Intuitive Robot Integration via <br> Virtual Reality Workspaces</h1>
<div class="is-size-5 publication-authors">
<span class="author-block"> Minh Q. Tram, Joseph M. Cloud, and <a href="https://ranger.uta.edu/~wjbeksi">William J. Beksi</a></span>
</div>
<div class="is-size-5 publication-university">
<span class="author-block">The University of Texas at Arlington</span>
</div>
<div class="is-size-5 publication-lab">
<span class="author-block">
<a href="https://rvl.uta.edu">Robotic Vision Laboratory</a></span>
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<a href="https://ieeexplore.ieee.org/document/10160699" class="external-link button is-normal is-rounded is-dark">
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<span>Paper</span>
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<span>Preprint</span>
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<span>Unity-Side Package</span>
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<a href="https://github.com/robotic-vision-lab/VRRW-ROS" class="external-link button is-normal is-rounded is-dark">
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<i class="fab fa-github"></i>
</span>
<span>ROS-Side Package</span>
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<div class="container is-max-desktop" id="Abstract">
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<h2 class="title is-3">Abstract</h2>
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<p>
As robots become increasingly prominent in diverse industrial
settings, the desire for an accessible and reliable system has
correspondingly increased. Yet, the task of meaningfully assessing
the feasibility of introducing a new robotic component, or adding
more robots into an existing infrastructure, remains a challenge.
This is due to both the logistics of acquiring a robot and the need
for expert knowledge in setting it up. In this project, we address
these concerns by developing a virtual reality robotic workspace
(<strong>VRRW</strong>). Our proposed framework enables natural
human-robot interaction through a visually immersive representation
of the workspace. The main advantages of our approach are the
following: (i) independence from a physical system, (ii)
flexibility in defining the workspace and robotic tasks, and (iii)
an intuitive interaction between the operator and the simulated
environment. Not only does our system provide an enhanced
understanding of 3D space to the operator, but it also encourages a
hands-on way to perform robot programming. We evaluate the
effectiveness of our method in applying novel automation
assignments by training a robot in virtual reality and then
executing the task on a real robot.
</p>
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</div>
</div>
</div>
<br>
<div class="container is-max-desktop content" id="Citation">
<!-- Citation -->
<h2 class="title is-3">Citation</h2>
<p>
If you find this project useful, then please consider citing our paper.
</p>
<pre><code>@inproceedings{tram2023intuitive,
author={Tram, Minh Q. and Cloud, Joseph M. and Beksi, William J.},
booktitle={Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
title={Intuitive Robot Integration via Virtual Reality Workspaces},
pages={11654--11660},
year={2023}
}</code></pre>
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<br>
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<h2 class="title is-3">License</h2>
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<p>
<strong>VRRW</strong> is licensed under the
<a href="https://www.apache.org/licenses/LICENSE-2.0">Apache License, Version 2.0</a>.
</p>
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This website is licensed under a
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This means you are free to borrow the
<a href="https://github.com/robotic-vision-lab/Virtual-Reality-Robotic-Workspace">source code</a>
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