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<!DOCTYPE HTML>
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  <title>Romina Garcia Camargo</title>

  <meta name="author" content="Romina Garcia Camargo">
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              <p style="text-align:center">
                <name>Romina Garcia Camargo</name>
              </p>
              <p>
                I am a graduate student advised by <a href="https://alelab.seas.upenn.edu/alejandro-ribeiro/">Dr. Alejandro
                Ribeiro</a> at the University of Pennsylvania. My interests are the areas of wireless systems and signal
                processing. I have also participated in various projects involving robot swarms.
              </p>
              <p>
                I completed my undergraduate studies at Universidad de la República, in Montevideo, Uruguay. During the last
                three years of my degree, I was fortunate to work at my school's Institute for Electrical Engineering. I
                worked as an assistant teacher for several courses within the topics of data networks and wireless
                communications. I also participated in various research projects as part of <a href="https://iie.fing.edu.uy/investigacion/grupos/artes/en/">Grupo ARTES.
              </p>
              <p style="text-align:center">
                <a href="mailto:rominag@seas.upenn.edu">Email</a> &nbsp/&nbsp
                <a href="data/resume.pdf">CV</a> &nbsp/&nbsp
                <a href="https://scholar.google.com/citations?pli=1&user=nsvqmiUAAAAJ">Google Scholar</a> &nbsp/&nbsp
                <a href="https://github.com/https://github.com/romm32/">Github</a>
              </p>
            </td>
            <td style="padding:2.5%;width:40%;max-width:40%">
              <a href="images/mugshot.jpeg"><img style="width:80%;max-width:100%" alt="profile photo" src="images/mugshot.jpeg" class="hoverZoomLink"></a>
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              <heading>News and Updates</heading>
              <p>In reverse chronological order:</p>
              <ul>
                <li>
                  <strong>Jan. 2024:</strong> Multi-model fitting paper accepted to ICRA, see you in Yokohama!
              <ul>
              </p>
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              <heading>Research Interests</heading>
              <p>
                My research centers around the application of machine learning and optimization techniques to wireless systems.
                I am specially interested in the topics of digital communications and data networks, and employing Graph Neural Networks
                to solve relevant problems within these areas.
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              <heading>Peer-Reviewed Publications</heading>
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              <img style="width:105%;max-width:105%" src="images/ICRA2024.png">
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              <a href="">
                <papertitle>Learning to Explore Indoor Environments using Autonomous Micro Aerial Vehicles</papertitle>
              </a>
              <br>
              Yuezhan Tao, Eran Iceland, <strong>Beiming Li</strong>, Elchanan Zwecher, Uri Heinemann, Avraham Cohen, Amir Avni, Oren Gal, Ariel Barel,
              Vijay Kumar
              <br>
              <em>IEEE International Conference on Robotics and Automation (ICRA), 2024. </em>
              <br>
              <a href="https://arxiv.org/pdf/2309.06986">Arxiv</a> |
              <a href="https://www.youtube.com/watch?v=x48BvkoXk3E">Video</a>
              <br>
              <p></p>
              <p>We present an indoor exploration framework that couples deep-learning-based map predictor and reinforcement-learning-based navigation policy.</p>
            </td>
          </tr>


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              <img style="width:105%;max-width:105%" src="images/SEER.png">
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              <a href="">
                <papertitle>SEER: Safe Efficient Exploration with Learned Information</papertitle>
              </a>
              <br>
              Yuezhan Tao, Yuwei Wu, <strong>Beiming Li</strong>, Fernando Cladera, Alex Zhou, Dinesh Thakur, Vijay Kumar
              <br>
              <em>IEEE International Conference on Robotics and Automation (ICRA), 2023. </em>
              <br>
              <a href="https://arxiv.org/pdf/2209.11034">Arxiv</a> |
              <a href="https://www.youtube.com/watch?v=5ZBkJmCKywg">Code</a> |
              <a href="https://www.youtube.com/watch?v=x48BvkoXk3E">Video</a>
              <br>
              <p></p>
              <p>We develop an indoor exploration framework that uses learning to
              predict the occupancy of unseen areas, extracts semantic features, samples viewpoints to predict information gains for
              different exploration goals, and plans informative trajectories to enable safe and smart exploration.</p>
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              <heading>Teaching</heading>
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              <p>
                <b>Data Networks 1</b><br>
                <b>Data Networks 2</b><br>
                <b>Tallerine: Introduction to Wireless Communications</b> <br>
              </p>
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              <br>
              <p style="text-align:right;font-size:small;">
                <a href="https://github.com/jonbarron/jonbarron_website">Website template from Jon Barron</a>
              </p>
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